diff --git a/404.html b/404.html
index cb6a3b57..d9e92d68 100644
--- a/404.html
+++ b/404.html
@@ -1,29 +1,28 @@
-
-
+
- Redirecting
- Redirecting...
-
+
+
+
+ Kedro-Viz
+
+
+
+
-
+
+
+
+
+
diff --git a/api/deploy-viz-metadata b/api/deploy-viz-metadata
index 10542842..637747ba 100644
--- a/api/deploy-viz-metadata
+++ b/api/deploy-viz-metadata
@@ -1 +1 @@
-{"timestamp": "08.11.2024 15:03:28", "version": "10.0.0"}
\ No newline at end of file
+{"timestamp": "11.11.2024 11:56:28", "version": "10.0.0"}
\ No newline at end of file
diff --git a/api/main b/api/main
index 2b2bdf45..9c8a6451 100644
--- a/api/main
+++ b/api/main
@@ -8,8 +8,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -25,8 +25,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -48,8 +48,8 @@
],
"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
+ "__default__"
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@@ -69,8 +69,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
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@@ -88,8 +88,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
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"modular_pipelines": [
@@ -109,8 +109,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "parameters",
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@@ -124,8 +124,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
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"modular_pipelines": [
@@ -147,8 +147,8 @@
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"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
+ "__default__"
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"modular_pipelines": [
@@ -164,8 +164,8 @@
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"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
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@@ -187,8 +187,8 @@
],
"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
+ "__default__"
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@@ -208,8 +208,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
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- "Data ingestion"
+ "Data ingestion",
+ "__default__"
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@@ -223,8 +223,8 @@
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"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
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@@ -243,8 +243,8 @@
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"pipelines": [
"Pre-modelling",
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+ "Data ingestion",
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"modular_pipelines": [
@@ -259,15 +259,15 @@
"pipelines": [
"Feature engineering",
"__default__",
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+ "Reporting stage",
"Pre-modelling",
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+ "Data ingestion"
],
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"modular_pipelines": [
"ingestion",
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- "reporting"
+ "reporting",
+ "feature_engineering"
],
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"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -282,10 +282,10 @@
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"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "Feature engineering",
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@@ -305,8 +305,8 @@
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"tags": [],
"pipelines": [
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"Pre-modelling",
+ "Feature engineering",
"__default__"
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@@ -341,8 +341,8 @@
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"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
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"type": "parameters",
@@ -356,8 +356,8 @@
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"tags": [],
"pipelines": [
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"Pre-modelling",
+ "Feature engineering",
"__default__"
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@@ -376,8 +376,8 @@
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"tags": [],
"pipelines": [
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"Pre-modelling",
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"__default__"
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@@ -391,15 +391,15 @@
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"Pre-modelling",
+ "Feature engineering",
"__default__",
"Reporting stage"
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@@ -414,8 +414,8 @@
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"pipelines": [
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"Pre-modelling",
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"__default__"
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@@ -441,8 +441,8 @@
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"pipelines": [
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"Pre-modelling",
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"__default__"
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@@ -456,8 +456,8 @@
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"Pre-modelling",
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"__default__"
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@@ -477,8 +477,8 @@
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@@ -492,8 +492,8 @@
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@@ -665,8 +665,8 @@
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@@ -680,8 +680,8 @@
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@@ -771,9 +771,9 @@
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"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -794,9 +794,9 @@
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"train_evaluation.random_forest",
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@@ -817,9 +817,9 @@
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@@ -837,9 +837,9 @@
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@@ -891,8 +891,8 @@
"id": "10e51dea",
"name": "train_evaluation.linear_regression.regressor",
"tags": [
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@@ -918,8 +918,8 @@
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"dataset_type": "tracking.json_dataset.JSONDataset",
@@ -980,8 +980,8 @@
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"name": "train_evaluation.random_forest.regressor",
"tags": [
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"__default__",
@@ -1007,8 +1007,8 @@
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@@ -1042,8 +1042,8 @@
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@@ -1077,8 +1077,8 @@
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"dataset_type": "tracking.metrics_dataset.MetricsDataset",
@@ -1101,8 +1101,8 @@
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"name": "ingestion",
"tags": [
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"__default__"
@@ -1130,8 +1130,8 @@
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"name": "train_evaluation",
"tags": [
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"__default__"
@@ -1146,8 +1146,8 @@
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"name": "train_evaluation.linear_regression",
"tags": [
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@@ -1162,8 +1162,8 @@
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"name": "train_evaluation.random_forest",
"tags": [
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+ },
+ {
+ "source": "b5609df0",
+ "target": "ingestion"
},
{
"source": "reporting",
- "target": "c6992660"
+ "target": "eb7d6d28"
},
{
- "source": "72baf5c6",
- "target": "train_evaluation"
+ "source": "10e51dea",
+ "target": "d2885635"
},
{
- "source": "9f266f06",
- "target": "feature_engineering"
+ "source": "cb5166f3",
+ "target": "f063cc82"
},
{
- "source": "cae2d1c7",
- "target": "af9a43c8"
+ "source": "9ca016a8",
+ "target": "train_evaluation.linear_regression"
},
{
"source": "reporting",
- "target": "c0be8342"
+ "target": "8838ca1f"
},
{
- "source": "f6d9538c",
- "target": "train_evaluation.random_forest"
+ "source": "cae2d1c7",
+ "target": "train_evaluation.linear_regression"
+ },
+ {
+ "source": "3fb71518",
+ "target": "8838ca1f"
+ },
+ {
+ "source": "e50f81b8",
+ "target": "8e4f1015"
+ },
+ {
+ "source": "bf8530bc",
+ "target": "b16095d0"
},
{
"source": "9f266f06",
"target": "04ba733a"
},
{
- "source": "cb5166f3",
- "target": "9f266f06"
+ "source": "872981f9",
+ "target": "bf8530bc"
},
{
- "source": "9ca016a8",
- "target": "af9a43c8"
+ "source": "f6d9538c",
+ "target": "train_evaluation.random_forest"
},
{
- "source": "f6d9538c",
- "target": "d2885635"
+ "source": "40886786",
+ "target": "c6992660"
},
{
- "source": "be6b7919",
- "target": "3b199c6b"
+ "source": "2816ba38",
+ "target": "cae2d1c7"
},
{
- "source": "aed46479",
- "target": "ingestion"
+ "source": "f063cc82",
+ "target": "7932e672"
},
{
- "source": "b5609df0",
- "target": "ingestion"
+ "source": "feature_engineering",
+ "target": "23c94afb"
+ },
+ {
+ "source": "1e3cc50a",
+ "target": "4adb5c8b"
+ },
+ {
+ "source": "9ca016a8",
+ "target": "train_evaluation.random_forest"
},
{
"source": "cae2d1c7",
- "target": "train_evaluation.linear_regression"
+ "target": "train_evaluation.random_forest"
},
{
- "source": "bf8530bc",
- "target": "b16095d0"
+ "source": "038647c7",
+ "target": "4f79de77"
},
{
- "source": "4adb5c8b",
- "target": "eb7d6d28"
+ "source": "9f266f06",
+ "target": "be6b7919"
},
{
- "source": "22eec376",
- "target": "2816ba38"
+ "source": "abed6a4d",
+ "target": "04ba733a"
},
{
- "source": "9ca016a8",
- "target": "train_evaluation.linear_regression"
+ "source": "2816ba38",
+ "target": "f6d9538c"
},
{
- "source": "train_evaluation.linear_regression",
- "target": "495a0bbc"
+ "source": "872981f9",
+ "target": "train_evaluation.random_forest"
+ },
+ {
+ "source": "ingestion",
+ "target": "c08c7708"
},
{
"source": "69c523b6",
"target": "f23ad217"
},
{
- "source": "reporting",
- "target": "eb7d6d28"
+ "source": "f1d596c2",
+ "target": "f33b9291"
},
{
- "source": "8e4f1015",
+ "source": "7b2c6e04",
+ "target": "ingestion"
+ },
+ {
+ "source": "7c92a703",
"target": "6ea2ec2c"
},
{
- "source": "4f7ffa1b",
- "target": "cb5166f3"
+ "source": "72baf5c6",
+ "target": "train_evaluation"
},
{
- "source": "9f266f06",
- "target": "be6b7919"
+ "source": "f23ad217",
+ "target": "8de402c1"
},
{
"source": "98eb115e",
- "target": "train_evaluation"
+ "target": "af9a43c8"
},
{
- "source": "10e51dea",
- "target": "d2885635"
+ "source": "f33b9291",
+ "target": "c0ddbcbf"
},
{
- "source": "f063cc82",
- "target": "7932e672"
+ "source": "train_evaluation.random_forest",
+ "target": "4f79de77"
},
{
- "source": "23c94afb",
- "target": "2816ba38"
+ "source": "72baf5c6",
+ "target": "038647c7"
},
{
- "source": "f6d9538c",
- "target": "train_evaluation.linear_regression"
+ "source": "1e3cc50a",
+ "target": "reporting"
},
{
- "source": "reporting",
- "target": "3b199c6b"
+ "source": "9f266f06",
+ "target": "40886786"
},
{
- "source": "f063cc82",
- "target": "9a6ef457"
+ "source": "4adb5c8b",
+ "target": "eb7d6d28"
+ },
+ {
+ "source": "train_evaluation.random_forest",
+ "target": "b16095d0"
+ },
+ {
+ "source": "9f266f06",
+ "target": "c7646ea1"
+ },
+ {
+ "source": "ea604da4",
+ "target": "4f7ffa1b"
}
],
"layers": [
@@ -1677,43 +1677,51 @@
"outputs": [],
"children": [
{
- "id": "reporting",
- "type": "modularPipeline"
+ "id": "495a0bbc",
+ "type": "data"
},
{
- "id": "feature_engineering",
- "type": "modularPipeline"
+ "id": "72baf5c6",
+ "type": "parameters"
},
{
- "id": "9f266f06",
+ "id": "23c94afb",
"type": "data"
},
{
- "id": "7b2c6e04",
+ "id": "22eec376",
+ "type": "parameters"
+ },
+ {
+ "id": "9f266f06",
"type": "data"
},
{
- "id": "f063cc82",
+ "id": "4f79de77",
"type": "data"
},
{
- "id": "1e3cc50a",
+ "id": "22eec376",
"type": "data"
},
{
- "id": "872981f9",
+ "id": "f6d9538c",
"type": "data"
},
{
- "id": "ingestion",
- "type": "modularPipeline"
+ "id": "2816ba38",
+ "type": "task"
},
{
- "id": "22eec376",
+ "id": "1e3cc50a",
"type": "data"
},
{
- "id": "cae2d1c7",
+ "id": "a3627e31",
+ "type": "parameters"
+ },
+ {
+ "id": "d0e9b00f",
"type": "data"
},
{
@@ -1725,92 +1733,84 @@
"type": "data"
},
{
- "id": "train_evaluation",
- "type": "modularPipeline"
+ "id": "f063cc82",
+ "type": "data"
},
{
- "id": "a3627e31",
+ "id": "98eb115e",
"type": "parameters"
},
{
- "id": "b701864d",
+ "id": "cae2d1c7",
"type": "data"
},
{
- "id": "4f79de77",
+ "id": "c6992660",
"type": "data"
},
{
- "id": "22eec376",
- "type": "parameters"
+ "id": "ingestion",
+ "type": "modularPipeline"
},
{
- "id": "eb7d6d28",
- "type": "data"
+ "id": "train_evaluation",
+ "type": "modularPipeline"
},
{
- "id": "23c94afb",
+ "id": "c0be8342",
"type": "data"
},
{
- "id": "8838ca1f",
- "type": "data"
+ "id": "reporting",
+ "type": "modularPipeline"
},
{
- "id": "3b199c6b",
- "type": "data"
+ "id": "abed6a4d",
+ "type": "parameters"
},
{
- "id": "f1d596c2",
+ "id": "aed46479",
"type": "data"
},
{
- "id": "d0e9b00f",
+ "id": "f1d596c2",
"type": "data"
},
{
- "id": "aed46479",
- "type": "data"
+ "id": "b5609df0",
+ "type": "parameters"
},
{
- "id": "f6d9538c",
- "type": "data"
+ "id": "feature_engineering",
+ "type": "modularPipeline"
},
{
- "id": "c6992660",
+ "id": "872981f9",
"type": "data"
},
{
- "id": "495a0bbc",
+ "id": "b16095d0",
"type": "data"
},
{
- "id": "98eb115e",
- "type": "parameters"
- },
- {
- "id": "c0be8342",
+ "id": "8838ca1f",
"type": "data"
},
{
- "id": "72baf5c6",
- "type": "parameters"
- },
- {
- "id": "abed6a4d",
- "type": "parameters"
+ "id": "7b2c6e04",
+ "type": "data"
},
{
- "id": "b16095d0",
+ "id": "3b199c6b",
"type": "data"
},
{
- "id": "2816ba38",
- "type": "task"
+ "id": "eb7d6d28",
+ "type": "data"
},
{
- "id": "b5609df0",
- "type": "parameters"
+ "id": "b701864d",
+ "type": "data"
}
]
},
@@ -1818,10 +1818,10 @@
"id": "feature_engineering",
"name": "feature_engineering",
"inputs": [
- "f063cc82",
- "abed6a4d",
+ "a3627e31",
"9f266f06",
- "a3627e31"
+ "f063cc82",
+ "abed6a4d"
],
"outputs": [
"1e3cc50a",
@@ -1829,19 +1829,19 @@
],
"children": [
{
- "id": "04ba733a",
+ "id": "6ea2ec2c",
"type": "task"
},
{
- "id": "8e4f1015",
- "type": "data"
+ "id": "7932e672",
+ "type": "task"
},
{
"id": "e50f81b8",
"type": "task"
},
{
- "id": "6ea2ec2c",
+ "id": "04ba733a",
"type": "task"
},
{
@@ -1849,8 +1849,8 @@
"type": "data"
},
{
- "id": "7932e672",
- "type": "task"
+ "id": "8e4f1015",
+ "type": "data"
}
]
},
@@ -1859,14 +1859,14 @@
"name": "ingestion",
"inputs": [
"7b2c6e04",
- "aed46479",
"b5609df0",
- "f1d596c2"
+ "f1d596c2",
+ "aed46479"
],
"outputs": [
+ "9f266f06",
"f063cc82",
- "c08c7708",
- "9f266f06"
+ "c08c7708"
],
"children": [
{
@@ -1874,23 +1874,19 @@
"type": "task"
},
{
- "id": "c0ddbcbf",
+ "id": "f23ad217",
"type": "data"
},
{
- "id": "9a6ef457",
+ "id": "ea604da4",
"type": "task"
},
{
- "id": "8de402c1",
+ "id": "f33b9291",
"type": "task"
},
{
- "id": "8f20d98e",
- "type": "data"
- },
- {
- "id": "ea604da4",
+ "id": "9a6ef457",
"type": "task"
},
{
@@ -1898,15 +1894,19 @@
"type": "data"
},
{
- "id": "69c523b6",
- "type": "task"
+ "id": "c0ddbcbf",
+ "type": "data"
},
{
- "id": "f23ad217",
+ "id": "8f20d98e",
"type": "data"
},
{
- "id": "f33b9291",
+ "id": "69c523b6",
+ "type": "task"
+ },
+ {
+ "id": "8de402c1",
"type": "task"
}
]
@@ -1919,36 +1919,36 @@
"9f266f06"
],
"outputs": [
- "c0be8342",
- "d0e9b00f",
"8838ca1f",
- "c6992660",
+ "d0e9b00f",
+ "3b199c6b",
"eb7d6d28",
- "3b199c6b"
+ "c6992660",
+ "c0be8342"
],
"children": [
{
- "id": "be6b7919",
+ "id": "c7646ea1",
"type": "task"
},
{
- "id": "44ef9b48",
+ "id": "40886786",
"type": "task"
},
{
- "id": "4adb5c8b",
+ "id": "3fb71518",
"type": "task"
},
{
- "id": "c7646ea1",
+ "id": "be6b7919",
"type": "task"
},
{
- "id": "3fb71518",
+ "id": "4adb5c8b",
"type": "task"
},
{
- "id": "40886786",
+ "id": "44ef9b48",
"type": "task"
}
]
@@ -1958,25 +1958,25 @@
"name": "train_evaluation",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
+ "98eb115e",
"72baf5c6",
- "98eb115e"
+ "9ca016a8"
],
"outputs": [
- "b16095d0",
- "b701864d",
"4f79de77",
- "495a0bbc"
+ "495a0bbc",
+ "b701864d",
+ "b16095d0"
],
"children": [
{
- "id": "train_evaluation.random_forest",
+ "id": "train_evaluation.linear_regression",
"type": "modularPipeline"
},
{
- "id": "train_evaluation.linear_regression",
+ "id": "train_evaluation.random_forest",
"type": "modularPipeline"
}
]
@@ -1986,14 +1986,14 @@
"name": "train_evaluation.linear_regression",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
- "98eb115e"
+ "98eb115e",
+ "9ca016a8"
],
"outputs": [
- "b701864d",
- "495a0bbc"
+ "495a0bbc",
+ "b701864d"
],
"children": [
{
@@ -2015,14 +2015,14 @@
"name": "train_evaluation.random_forest",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
- "72baf5c6"
+ "72baf5c6",
+ "9ca016a8"
],
"outputs": [
- "b16095d0",
- "4f79de77"
+ "4f79de77",
+ "b16095d0"
],
"children": [
{
diff --git a/api/pipelines/Data ingestion b/api/pipelines/Data ingestion
index 8e23ff55..66e8ffe0 100644
--- a/api/pipelines/Data ingestion
+++ b/api/pipelines/Data ingestion
@@ -8,8 +8,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -25,8 +25,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -48,8 +48,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -69,8 +69,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -88,8 +88,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -109,8 +109,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "parameters",
"modular_pipelines": null,
@@ -124,8 +124,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -147,8 +147,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -164,8 +164,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -187,8 +187,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -208,8 +208,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -223,8 +223,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -243,8 +243,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -259,15 +259,15 @@
"pipelines": [
"Feature engineering",
"__default__",
- "Data ingestion",
+ "Reporting stage",
"Pre-modelling",
- "Reporting stage"
+ "Data ingestion"
],
"type": "data",
"modular_pipelines": [
"ingestion",
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "primary",
"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -282,10 +282,10 @@
"name": "prm_spine_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "Feature engineering",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -306,8 +306,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -321,8 +321,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -339,8 +339,8 @@
"id": "ingestion",
"name": "ingestion",
"tags": [
- "companies",
- "shuttles"
+ "shuttles",
+ "companies"
],
"pipelines": [
"Data ingestion"
@@ -354,99 +354,99 @@
],
"edges": [
{
- "source": "ingestion",
- "target": "c08c7708"
- },
- {
- "source": "cb5166f3",
- "target": "9f266f06"
- },
- {
- "source": "f23ad217",
- "target": "8de402c1"
+ "source": "aed46479",
+ "target": "ingestion"
},
{
"source": "ingestion",
- "target": "9f266f06"
+ "target": "c08c7708"
},
{
- "source": "9a6ef457",
- "target": "c08c7708"
+ "source": "69c523b6",
+ "target": "f23ad217"
},
{
"source": "f1d596c2",
"target": "ingestion"
},
{
- "source": "aed46479",
- "target": "ingestion"
+ "source": "f1d596c2",
+ "target": "f33b9291"
},
{
"source": "b5609df0",
"target": "ingestion"
},
{
- "source": "cb5166f3",
- "target": "f063cc82"
+ "source": "9a6ef457",
+ "target": "c08c7708"
},
{
- "source": "f33b9291",
- "target": "c0ddbcbf"
+ "source": "f063cc82",
+ "target": "9a6ef457"
+ },
+ {
+ "source": "cb5166f3",
+ "target": "f063cc82"
},
{
"source": "8f20d98e",
"target": "cb5166f3"
},
{
- "source": "b5609df0",
- "target": "ea604da4"
+ "source": "7b2c6e04",
+ "target": "ingestion"
},
{
- "source": "8de402c1",
- "target": "8f20d98e"
+ "source": "b5609df0",
+ "target": "ea604da4"
},
{
- "source": "69c523b6",
- "target": "f23ad217"
+ "source": "f23ad217",
+ "target": "8de402c1"
},
{
- "source": "4f7ffa1b",
- "target": "cb5166f3"
+ "source": "ingestion",
+ "target": "9f266f06"
},
{
"source": "7b2c6e04",
- "target": "ingestion"
+ "target": "ea604da4"
},
{
- "source": "ea604da4",
- "target": "4f7ffa1b"
+ "source": "f33b9291",
+ "target": "c0ddbcbf"
},
{
"source": "c0ddbcbf",
"target": "cb5166f3"
},
{
- "source": "f1d596c2",
- "target": "f33b9291"
+ "source": "8de402c1",
+ "target": "8f20d98e"
},
{
"source": "aed46479",
"target": "69c523b6"
},
{
- "source": "f063cc82",
- "target": "9a6ef457"
+ "source": "4f7ffa1b",
+ "target": "cb5166f3"
},
{
- "source": "7b2c6e04",
- "target": "ea604da4"
+ "source": "cb5166f3",
+ "target": "9f266f06"
+ },
+ {
+ "source": "ea604da4",
+ "target": "4f7ffa1b"
}
],
"layers": [
"raw",
- "model_input",
- "reporting",
"feature",
+ "reporting",
+ "model_input",
"intermediate",
"primary"
],
@@ -502,15 +502,11 @@
"outputs": [],
"children": [
{
- "id": "c08c7708",
- "type": "data"
- },
- {
- "id": "9f266f06",
+ "id": "7b2c6e04",
"type": "data"
},
{
- "id": "7b2c6e04",
+ "id": "c08c7708",
"type": "data"
},
{
@@ -522,12 +518,16 @@
"type": "data"
},
{
- "id": "ingestion",
- "type": "modularPipeline"
+ "id": "9f266f06",
+ "type": "data"
},
{
"id": "b5609df0",
"type": "parameters"
+ },
+ {
+ "id": "ingestion",
+ "type": "modularPipeline"
}
]
},
@@ -536,13 +536,13 @@
"name": "ingestion",
"inputs": [
"7b2c6e04",
- "aed46479",
"b5609df0",
- "f1d596c2"
+ "f1d596c2",
+ "aed46479"
],
"outputs": [
- "c08c7708",
- "9f266f06"
+ "9f266f06",
+ "c08c7708"
],
"children": [
{
@@ -550,43 +550,43 @@
"type": "task"
},
{
- "id": "c0ddbcbf",
+ "id": "f23ad217",
"type": "data"
},
{
- "id": "f063cc82",
- "type": "data"
+ "id": "ea604da4",
+ "type": "task"
},
{
- "id": "9a6ef457",
+ "id": "f33b9291",
"type": "task"
},
{
- "id": "8de402c1",
- "type": "task"
+ "id": "f063cc82",
+ "type": "data"
},
{
- "id": "8f20d98e",
+ "id": "4f7ffa1b",
"type": "data"
},
{
- "id": "ea604da4",
- "type": "task"
+ "id": "c0ddbcbf",
+ "type": "data"
},
{
- "id": "4f7ffa1b",
+ "id": "8f20d98e",
"type": "data"
},
{
- "id": "69c523b6",
+ "id": "9a6ef457",
"type": "task"
},
{
- "id": "f23ad217",
- "type": "data"
+ "id": "69c523b6",
+ "type": "task"
},
{
- "id": "f33b9291",
+ "id": "8de402c1",
"type": "task"
}
]
diff --git a/api/pipelines/Feature engineering b/api/pipelines/Feature engineering
index 6827b4bf..bcbc19c2 100644
--- a/api/pipelines/Feature engineering
+++ b/api/pipelines/Feature engineering
@@ -7,15 +7,15 @@
"pipelines": [
"Feature engineering",
"__default__",
- "Data ingestion",
+ "Reporting stage",
"Pre-modelling",
- "Reporting stage"
+ "Data ingestion"
],
"type": "data",
"modular_pipelines": [
"ingestion",
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "primary",
"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -30,10 +30,10 @@
"name": "prm_spine_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "Feature engineering",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -53,8 +53,8 @@
"name": "create_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -89,8 +89,8 @@
"name": "params:feature_engineering.feature.derived",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -104,8 +104,8 @@
"name": "feature_engineering.feat_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -124,8 +124,8 @@
"name": "create_feature_importance",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -139,15 +139,15 @@
"name": "feature_importance_output",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Reporting stage"
],
"type": "data",
"modular_pipelines": [
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "feature",
"dataset_type": "pandas.csv_dataset.CSVDataset",
@@ -162,8 +162,8 @@
"name": "create_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -189,8 +189,8 @@
"name": "params:feature_engineering.feature.static",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -204,8 +204,8 @@
"name": "feature_engineering.feat_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -224,8 +224,8 @@
"name": "joiner",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -239,8 +239,8 @@
"name": "model_input_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Modelling stage"
],
@@ -272,80 +272,80 @@
],
"edges": [
{
- "source": "f063cc82",
- "target": "feature_engineering"
- },
- {
- "source": "f063cc82",
- "target": "6ea2ec2c"
+ "source": "abed6a4d",
+ "target": "04ba733a"
},
{
- "source": "9f266f06",
- "target": "04ba733a"
+ "source": "7932e672",
+ "target": "1e3cc50a"
},
{
- "source": "a3627e31",
- "target": "feature_engineering"
+ "source": "f063cc82",
+ "target": "6ea2ec2c"
},
{
"source": "feature_engineering",
"target": "1e3cc50a"
},
{
- "source": "f063cc82",
- "target": "04ba733a"
- },
- {
- "source": "9f266f06",
- "target": "e50f81b8"
+ "source": "8e4f1015",
+ "target": "6ea2ec2c"
},
{
- "source": "04ba733a",
- "target": "7c92a703"
+ "source": "6ea2ec2c",
+ "target": "23c94afb"
},
{
- "source": "a3627e31",
- "target": "e50f81b8"
+ "source": "9f266f06",
+ "target": "feature_engineering"
},
{
"source": "7c92a703",
"target": "6ea2ec2c"
},
- {
- "source": "feature_engineering",
- "target": "23c94afb"
- },
- {
- "source": "7932e672",
- "target": "1e3cc50a"
- },
{
"source": "e50f81b8",
"target": "8e4f1015"
},
{
- "source": "abed6a4d",
+ "source": "a3627e31",
"target": "feature_engineering"
},
{
- "source": "abed6a4d",
+ "source": "9f266f06",
"target": "04ba733a"
},
{
- "source": "8e4f1015",
- "target": "6ea2ec2c"
+ "source": "f063cc82",
+ "target": "feature_engineering"
},
{
- "source": "6ea2ec2c",
+ "source": "f063cc82",
+ "target": "7932e672"
+ },
+ {
+ "source": "feature_engineering",
"target": "23c94afb"
},
+ {
+ "source": "9f266f06",
+ "target": "e50f81b8"
+ },
{
"source": "f063cc82",
- "target": "7932e672"
+ "target": "04ba733a"
},
{
- "source": "9f266f06",
+ "source": "abed6a4d",
"target": "feature_engineering"
+ },
+ {
+ "source": "a3627e31",
+ "target": "e50f81b8"
+ },
+ {
+ "source": "04ba733a",
+ "target": "7c92a703"
}
],
"layers": [
@@ -408,32 +408,32 @@
"outputs": [],
"children": [
{
- "id": "feature_engineering",
- "type": "modularPipeline"
+ "id": "a3627e31",
+ "type": "parameters"
},
{
- "id": "9f266f06",
+ "id": "23c94afb",
"type": "data"
},
{
- "id": "23c94afb",
- "type": "data"
+ "id": "abed6a4d",
+ "type": "parameters"
},
{
- "id": "f063cc82",
+ "id": "9f266f06",
"type": "data"
},
{
- "id": "1e3cc50a",
- "type": "data"
+ "id": "feature_engineering",
+ "type": "modularPipeline"
},
{
- "id": "abed6a4d",
- "type": "parameters"
+ "id": "f063cc82",
+ "type": "data"
},
{
- "id": "a3627e31",
- "type": "parameters"
+ "id": "1e3cc50a",
+ "type": "data"
}
]
},
@@ -441,10 +441,10 @@
"id": "feature_engineering",
"name": "feature_engineering",
"inputs": [
- "f063cc82",
- "abed6a4d",
+ "a3627e31",
"9f266f06",
- "a3627e31"
+ "f063cc82",
+ "abed6a4d"
],
"outputs": [
"1e3cc50a",
@@ -452,19 +452,19 @@
],
"children": [
{
- "id": "04ba733a",
+ "id": "6ea2ec2c",
"type": "task"
},
{
- "id": "8e4f1015",
- "type": "data"
+ "id": "7932e672",
+ "type": "task"
},
{
"id": "e50f81b8",
"type": "task"
},
{
- "id": "6ea2ec2c",
+ "id": "04ba733a",
"type": "task"
},
{
@@ -472,8 +472,8 @@
"type": "data"
},
{
- "id": "7932e672",
- "type": "task"
+ "id": "8e4f1015",
+ "type": "data"
}
]
}
diff --git a/api/pipelines/Modelling stage b/api/pipelines/Modelling stage
index c322112e..08d46947 100644
--- a/api/pipelines/Modelling stage
+++ b/api/pipelines/Modelling stage
@@ -5,8 +5,8 @@
"name": "model_input_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Modelling stage"
],
@@ -66,9 +66,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -89,9 +89,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -112,9 +112,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -132,9 +132,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -186,8 +186,8 @@
"id": "10e51dea",
"name": "train_evaluation.linear_regression.regressor",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__",
@@ -213,8 +213,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.linear_regression"
+ "train_evaluation.linear_regression",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.json_dataset.JSONDataset",
@@ -275,8 +275,8 @@
"id": "01675921",
"name": "train_evaluation.random_forest.regressor",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__",
@@ -302,8 +302,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.random_forest"
+ "train_evaluation.random_forest",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.json_dataset.JSONDataset",
@@ -337,8 +337,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.linear_regression"
+ "train_evaluation.linear_regression",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.metrics_dataset.MetricsDataset",
@@ -372,8 +372,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.random_forest"
+ "train_evaluation.random_forest",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.metrics_dataset.MetricsDataset",
@@ -383,8 +383,8 @@
"id": "train_evaluation",
"name": "train_evaluation",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"Modelling stage"
@@ -399,8 +399,8 @@
"id": "train_evaluation.linear_regression",
"name": "train_evaluation.linear_regression",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"Modelling stage"
@@ -415,8 +415,8 @@
"id": "train_evaluation.random_forest",
"name": "train_evaluation.random_forest",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"Modelling stage"
@@ -430,27 +430,15 @@
],
"edges": [
{
- "source": "cae2d1c7",
- "target": "af9a43c8"
+ "source": "22eec376",
+ "target": "2816ba38"
},
{
- "source": "f6d9538c",
+ "source": "872981f9",
"target": "train_evaluation"
},
{
- "source": "f6d9538c",
- "target": "train_evaluation.random_forest"
- },
- {
- "source": "72baf5c6",
- "target": "train_evaluation.random_forest"
- },
- {
- "source": "9ca016a8",
- "target": "af9a43c8"
- },
- {
- "source": "train_evaluation",
+ "source": "af9a43c8",
"target": "b701864d"
},
{
@@ -458,177 +446,189 @@
"target": "f6d9538c"
},
{
- "source": "f6d9538c",
- "target": "d2885635"
+ "source": "872981f9",
+ "target": "train_evaluation.random_forest"
+ },
+ {
+ "source": "cae2d1c7",
+ "target": "038647c7"
},
{
"source": "d2885635",
"target": "495a0bbc"
},
{
- "source": "2816ba38",
- "target": "9ca016a8"
+ "source": "f6d9538c",
+ "target": "train_evaluation.linear_regression"
},
{
- "source": "98eb115e",
- "target": "af9a43c8"
+ "source": "train_evaluation",
+ "target": "4f79de77"
},
{
- "source": "cae2d1c7",
- "target": "038647c7"
+ "source": "10e51dea",
+ "target": "d2885635"
},
{
- "source": "train_evaluation",
- "target": "495a0bbc"
+ "source": "2816ba38",
+ "target": "872981f9"
},
{
- "source": "038647c7",
- "target": "4f79de77"
+ "source": "01675921",
+ "target": "bf8530bc"
},
{
- "source": "872981f9",
- "target": "train_evaluation.linear_regression"
+ "source": "9ca016a8",
+ "target": "af9a43c8"
},
{
- "source": "872981f9",
- "target": "bf8530bc"
+ "source": "f6d9538c",
+ "target": "d2885635"
},
{
- "source": "9ca016a8",
- "target": "038647c7"
+ "source": "72baf5c6",
+ "target": "train_evaluation"
},
{
- "source": "train_evaluation.linear_regression",
- "target": "b701864d"
+ "source": "9ca016a8",
+ "target": "train_evaluation.linear_regression"
},
{
- "source": "038647c7",
- "target": "01675921"
+ "source": "cae2d1c7",
+ "target": "af9a43c8"
},
{
"source": "cae2d1c7",
"target": "train_evaluation.linear_regression"
},
+ {
+ "source": "train_evaluation.linear_regression",
+ "target": "495a0bbc"
+ },
{
"source": "2816ba38",
- "target": "872981f9"
+ "target": "9ca016a8"
},
{
- "source": "bf8530bc",
- "target": "b16095d0"
+ "source": "9ca016a8",
+ "target": "038647c7"
},
{
- "source": "872981f9",
- "target": "train_evaluation"
+ "source": "train_evaluation.linear_regression",
+ "target": "b701864d"
},
{
- "source": "2816ba38",
- "target": "cae2d1c7"
+ "source": "f6d9538c",
+ "target": "train_evaluation"
},
{
- "source": "872981f9",
+ "source": "72baf5c6",
"target": "train_evaluation.random_forest"
},
{
- "source": "cae2d1c7",
- "target": "train_evaluation"
+ "source": "98eb115e",
+ "target": "af9a43c8"
},
{
- "source": "22eec376",
- "target": "2816ba38"
+ "source": "bf8530bc",
+ "target": "b16095d0"
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{
- "source": "01675921",
+ "source": "872981f9",
"target": "bf8530bc"
},
{
- "source": "9ca016a8",
+ "source": "98eb115e",
"target": "train_evaluation.linear_regression"
},
{
- "source": "cae2d1c7",
+ "source": "f6d9538c",
"target": "train_evaluation.random_forest"
},
{
- "source": "train_evaluation.linear_regression",
- "target": "495a0bbc"
- },
- {
- "source": "9ca016a8",
- "target": "train_evaluation"
+ "source": "train_evaluation.random_forest",
+ "target": "4f79de77"
},
{
- "source": "872981f9",
- "target": "d2885635"
+ "source": "2816ba38",
+ "target": "cae2d1c7"
},
{
- "source": "9ca016a8",
- "target": "train_evaluation.random_forest"
+ "source": "train_evaluation",
+ "target": "b16095d0"
},
{
"source": "72baf5c6",
"target": "038647c7"
},
{
- "source": "train_evaluation.random_forest",
- "target": "4f79de77"
+ "source": "872981f9",
+ "target": "train_evaluation.linear_regression"
},
{
- "source": "98eb115e",
- "target": "train_evaluation.linear_regression"
+ "source": "9ca016a8",
+ "target": "train_evaluation"
},
{
- "source": "af9a43c8",
- "target": "b701864d"
+ "source": "cae2d1c7",
+ "target": "train_evaluation"
},
{
- "source": "af9a43c8",
- "target": "10e51dea"
+ "source": "9ca016a8",
+ "target": "train_evaluation.random_forest"
+ },
+ {
+ "source": "cae2d1c7",
+ "target": "train_evaluation.random_forest"
},
{
"source": "98eb115e",
"target": "train_evaluation"
},
{
- "source": "10e51dea",
- "target": "d2885635"
+ "source": "train_evaluation",
+ "target": "495a0bbc"
},
{
- "source": "23c94afb",
- "target": "2816ba38"
+ "source": "038647c7",
+ "target": "4f79de77"
},
{
"source": "train_evaluation",
- "target": "4f79de77"
+ "target": "b701864d"
},
{
"source": "train_evaluation.random_forest",
"target": "b16095d0"
},
{
- "source": "f6d9538c",
- "target": "train_evaluation.linear_regression"
+ "source": "872981f9",
+ "target": "d2885635"
},
{
"source": "f6d9538c",
"target": "bf8530bc"
},
{
- "source": "72baf5c6",
- "target": "train_evaluation"
+ "source": "038647c7",
+ "target": "01675921"
},
{
- "source": "train_evaluation",
- "target": "b16095d0"
+ "source": "23c94afb",
+ "target": "2816ba38"
+ },
+ {
+ "source": "af9a43c8",
+ "target": "10e51dea"
}
],
"layers": [
+ "feature",
"raw",
"intermediate",
- "model_input",
"reporting",
- "feature",
- "primary"
+ "primary",
+ "model_input"
],
"tags": [
{
@@ -682,47 +682,35 @@
"outputs": [],
"children": [
{
- "id": "495a0bbc",
- "type": "data"
- },
- {
- "id": "cae2d1c7",
- "type": "data"
+ "id": "train_evaluation",
+ "type": "modularPipeline"
},
{
- "id": "872981f9",
+ "id": "b16095d0",
"type": "data"
},
{
- "id": "23c94afb",
+ "id": "495a0bbc",
"type": "data"
},
{
- "id": "98eb115e",
+ "id": "72baf5c6",
"type": "parameters"
},
{
- "id": "9ca016a8",
+ "id": "23c94afb",
"type": "data"
},
- {
- "id": "train_evaluation",
- "type": "modularPipeline"
- },
{
"id": "b701864d",
"type": "data"
},
- {
- "id": "72baf5c6",
- "type": "parameters"
- },
{
"id": "22eec376",
"type": "parameters"
},
{
- "id": "b16095d0",
+ "id": "22eec376",
"type": "data"
},
{
@@ -730,16 +718,28 @@
"type": "data"
},
{
- "id": "2816ba38",
- "type": "task"
+ "id": "9ca016a8",
+ "type": "data"
},
{
"id": "f6d9538c",
"type": "data"
},
{
- "id": "22eec376",
+ "id": "cae2d1c7",
+ "type": "data"
+ },
+ {
+ "id": "98eb115e",
+ "type": "parameters"
+ },
+ {
+ "id": "872981f9",
"type": "data"
+ },
+ {
+ "id": "2816ba38",
+ "type": "task"
}
]
},
@@ -748,25 +748,25 @@
"name": "train_evaluation",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
+ "98eb115e",
"72baf5c6",
- "98eb115e"
+ "9ca016a8"
],
"outputs": [
- "b16095d0",
- "b701864d",
"4f79de77",
- "495a0bbc"
+ "495a0bbc",
+ "b701864d",
+ "b16095d0"
],
"children": [
{
- "id": "train_evaluation.random_forest",
+ "id": "train_evaluation.linear_regression",
"type": "modularPipeline"
},
{
- "id": "train_evaluation.linear_regression",
+ "id": "train_evaluation.random_forest",
"type": "modularPipeline"
}
]
@@ -776,14 +776,14 @@
"name": "train_evaluation.linear_regression",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
- "98eb115e"
+ "98eb115e",
+ "9ca016a8"
],
"outputs": [
- "b701864d",
- "495a0bbc"
+ "495a0bbc",
+ "b701864d"
],
"children": [
{
@@ -805,14 +805,14 @@
"name": "train_evaluation.random_forest",
"inputs": [
"cae2d1c7",
- "9ca016a8",
"f6d9538c",
"872981f9",
- "72baf5c6"
+ "72baf5c6",
+ "9ca016a8"
],
"outputs": [
- "b16095d0",
- "4f79de77"
+ "4f79de77",
+ "b16095d0"
],
"children": [
{
diff --git a/api/pipelines/Pre-modelling b/api/pipelines/Pre-modelling
index ea85bad9..e5b3ad3c 100644
--- a/api/pipelines/Pre-modelling
+++ b/api/pipelines/Pre-modelling
@@ -8,8 +8,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -25,8 +25,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -48,8 +48,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -69,8 +69,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -88,8 +88,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -109,8 +109,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "parameters",
"modular_pipelines": null,
@@ -124,8 +124,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -147,8 +147,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -164,8 +164,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -187,8 +187,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -208,8 +208,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -223,8 +223,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -243,8 +243,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -259,15 +259,15 @@
"pipelines": [
"Feature engineering",
"__default__",
- "Data ingestion",
+ "Reporting stage",
"Pre-modelling",
- "Reporting stage"
+ "Data ingestion"
],
"type": "data",
"modular_pipelines": [
"ingestion",
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "primary",
"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -282,10 +282,10 @@
"name": "prm_spine_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "Feature engineering",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -305,8 +305,8 @@
"name": "create_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -341,8 +341,8 @@
"name": "params:feature_engineering.feature.derived",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -356,8 +356,8 @@
"name": "feature_engineering.feat_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -376,8 +376,8 @@
"name": "create_feature_importance",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -391,15 +391,15 @@
"name": "feature_importance_output",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Reporting stage"
],
"type": "data",
"modular_pipelines": [
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "feature",
"dataset_type": "pandas.csv_dataset.CSVDataset",
@@ -414,8 +414,8 @@
"name": "create_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -441,8 +441,8 @@
"name": "params:feature_engineering.feature.static",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -456,8 +456,8 @@
"name": "feature_engineering.feat_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -477,8 +477,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -492,8 +492,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -511,8 +511,8 @@
"name": "joiner",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -526,8 +526,8 @@
"name": "model_input_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Modelling stage"
],
@@ -560,8 +560,8 @@
"id": "ingestion",
"name": "ingestion",
"tags": [
- "companies",
- "shuttles"
+ "shuttles",
+ "companies"
],
"pipelines": [
"Pre-modelling"
@@ -575,172 +575,172 @@
],
"edges": [
{
- "source": "ingestion",
- "target": "c08c7708"
+ "source": "abed6a4d",
+ "target": "04ba733a"
},
{
- "source": "f063cc82",
- "target": "feature_engineering"
+ "source": "7932e672",
+ "target": "1e3cc50a"
},
{
- "source": "f063cc82",
- "target": "6ea2ec2c"
+ "source": "aed46479",
+ "target": "ingestion"
},
{
- "source": "9f266f06",
- "target": "04ba733a"
+ "source": "ingestion",
+ "target": "c08c7708"
},
{
- "source": "cb5166f3",
- "target": "9f266f06"
+ "source": "f063cc82",
+ "target": "6ea2ec2c"
},
{
- "source": "a3627e31",
- "target": "feature_engineering"
+ "source": "69c523b6",
+ "target": "f23ad217"
},
{
"source": "feature_engineering",
"target": "1e3cc50a"
},
{
- "source": "f063cc82",
- "target": "04ba733a"
- },
- {
- "source": "04ba733a",
- "target": "7c92a703"
- },
- {
- "source": "9f266f06",
- "target": "e50f81b8"
+ "source": "f1d596c2",
+ "target": "ingestion"
},
{
- "source": "f23ad217",
- "target": "8de402c1"
+ "source": "f1d596c2",
+ "target": "f33b9291"
},
{
- "source": "a3627e31",
- "target": "e50f81b8"
+ "source": "8e4f1015",
+ "target": "6ea2ec2c"
},
{
- "source": "ingestion",
- "target": "9f266f06"
+ "source": "b5609df0",
+ "target": "ingestion"
},
{
"source": "9a6ef457",
"target": "c08c7708"
},
{
- "source": "7c92a703",
- "target": "6ea2ec2c"
+ "source": "f063cc82",
+ "target": "9a6ef457"
},
{
- "source": "f1d596c2",
- "target": "ingestion"
+ "source": "cb5166f3",
+ "target": "f063cc82"
},
{
- "source": "feature_engineering",
+ "source": "6ea2ec2c",
"target": "23c94afb"
},
{
- "source": "aed46479",
+ "source": "8f20d98e",
+ "target": "cb5166f3"
+ },
+ {
+ "source": "7b2c6e04",
"target": "ingestion"
},
{
- "source": "7932e672",
- "target": "1e3cc50a"
+ "source": "9f266f06",
+ "target": "feature_engineering"
+ },
+ {
+ "source": "7c92a703",
+ "target": "6ea2ec2c"
},
{
"source": "b5609df0",
- "target": "ingestion"
+ "target": "ea604da4"
},
{
"source": "e50f81b8",
"target": "8e4f1015"
},
{
- "source": "cb5166f3",
- "target": "f063cc82"
+ "source": "f23ad217",
+ "target": "8de402c1"
},
{
- "source": "f33b9291",
- "target": "c0ddbcbf"
+ "source": "a3627e31",
+ "target": "feature_engineering"
},
{
- "source": "8f20d98e",
- "target": "cb5166f3"
+ "source": "ingestion",
+ "target": "9f266f06"
},
{
"source": "9f266f06",
- "target": "feature_engineering"
- },
- {
- "source": "abed6a4d",
- "target": "feature_engineering"
+ "target": "04ba733a"
},
{
- "source": "b5609df0",
+ "source": "7b2c6e04",
"target": "ea604da4"
},
{
- "source": "abed6a4d",
- "target": "04ba733a"
+ "source": "f33b9291",
+ "target": "c0ddbcbf"
},
{
- "source": "ingestion",
- "target": "f063cc82"
+ "source": "c0ddbcbf",
+ "target": "cb5166f3"
},
{
"source": "8de402c1",
"target": "8f20d98e"
},
{
- "source": "69c523b6",
- "target": "f23ad217"
+ "source": "f063cc82",
+ "target": "feature_engineering"
},
{
- "source": "8e4f1015",
- "target": "6ea2ec2c"
+ "source": "a3627e31",
+ "target": "e50f81b8"
},
{
- "source": "4f7ffa1b",
- "target": "cb5166f3"
+ "source": "f063cc82",
+ "target": "7932e672"
},
{
- "source": "6ea2ec2c",
+ "source": "feature_engineering",
"target": "23c94afb"
},
{
- "source": "7b2c6e04",
- "target": "ingestion"
+ "source": "9f266f06",
+ "target": "e50f81b8"
+ },
+ {
+ "source": "ingestion",
+ "target": "f063cc82"
},
{
"source": "f063cc82",
- "target": "7932e672"
+ "target": "04ba733a"
},
{
- "source": "ea604da4",
- "target": "4f7ffa1b"
+ "source": "aed46479",
+ "target": "69c523b6"
},
{
- "source": "c0ddbcbf",
- "target": "cb5166f3"
+ "source": "abed6a4d",
+ "target": "feature_engineering"
},
{
- "source": "f1d596c2",
- "target": "f33b9291"
+ "source": "4f7ffa1b",
+ "target": "cb5166f3"
},
{
- "source": "aed46479",
- "target": "69c523b6"
+ "source": "cb5166f3",
+ "target": "9f266f06"
},
{
- "source": "f063cc82",
- "target": "9a6ef457"
+ "source": "ea604da4",
+ "target": "4f7ffa1b"
},
{
- "source": "7b2c6e04",
- "target": "ea604da4"
+ "source": "04ba733a",
+ "target": "7c92a703"
}
],
"layers": [
@@ -803,27 +803,27 @@
"outputs": [],
"children": [
{
- "id": "feature_engineering",
- "type": "modularPipeline"
+ "id": "a3627e31",
+ "type": "parameters"
},
{
- "id": "c08c7708",
+ "id": "7b2c6e04",
"type": "data"
},
{
- "id": "9f266f06",
+ "id": "23c94afb",
"type": "data"
},
{
- "id": "23c94afb",
- "type": "data"
+ "id": "abed6a4d",
+ "type": "parameters"
},
{
- "id": "7b2c6e04",
+ "id": "c08c7708",
"type": "data"
},
{
- "id": "f063cc82",
+ "id": "9f266f06",
"type": "data"
},
{
@@ -831,19 +831,19 @@
"type": "data"
},
{
- "id": "a3627e31",
- "type": "parameters"
+ "id": "aed46479",
+ "type": "data"
},
{
- "id": "1e3cc50a",
- "type": "data"
+ "id": "feature_engineering",
+ "type": "modularPipeline"
},
{
- "id": "aed46479",
+ "id": "f063cc82",
"type": "data"
},
{
- "id": "abed6a4d",
+ "id": "b5609df0",
"type": "parameters"
},
{
@@ -851,8 +851,8 @@
"type": "modularPipeline"
},
{
- "id": "b5609df0",
- "type": "parameters"
+ "id": "1e3cc50a",
+ "type": "data"
}
]
},
@@ -860,10 +860,10 @@
"id": "feature_engineering",
"name": "feature_engineering",
"inputs": [
- "f063cc82",
- "abed6a4d",
+ "a3627e31",
"9f266f06",
- "a3627e31"
+ "f063cc82",
+ "abed6a4d"
],
"outputs": [
"1e3cc50a",
@@ -871,19 +871,19 @@
],
"children": [
{
- "id": "04ba733a",
+ "id": "6ea2ec2c",
"type": "task"
},
{
- "id": "8e4f1015",
- "type": "data"
+ "id": "7932e672",
+ "type": "task"
},
{
"id": "e50f81b8",
"type": "task"
},
{
- "id": "6ea2ec2c",
+ "id": "04ba733a",
"type": "task"
},
{
@@ -891,8 +891,8 @@
"type": "data"
},
{
- "id": "7932e672",
- "type": "task"
+ "id": "8e4f1015",
+ "type": "data"
}
]
},
@@ -900,15 +900,15 @@
"id": "ingestion",
"name": "ingestion",
"inputs": [
+ "b5609df0",
"7b2c6e04",
"aed46479",
- "b5609df0",
"f1d596c2"
],
"outputs": [
+ "9f266f06",
"f063cc82",
- "c08c7708",
- "9f266f06"
+ "c08c7708"
],
"children": [
{
@@ -916,23 +916,19 @@
"type": "task"
},
{
- "id": "c0ddbcbf",
+ "id": "f23ad217",
"type": "data"
},
{
- "id": "9a6ef457",
+ "id": "ea604da4",
"type": "task"
},
{
- "id": "8de402c1",
+ "id": "f33b9291",
"type": "task"
},
{
- "id": "8f20d98e",
- "type": "data"
- },
- {
- "id": "ea604da4",
+ "id": "9a6ef457",
"type": "task"
},
{
@@ -940,15 +936,19 @@
"type": "data"
},
{
- "id": "69c523b6",
- "type": "task"
+ "id": "c0ddbcbf",
+ "type": "data"
},
{
- "id": "f23ad217",
+ "id": "8f20d98e",
"type": "data"
},
{
- "id": "f33b9291",
+ "id": "69c523b6",
+ "type": "task"
+ },
+ {
+ "id": "8de402c1",
"type": "task"
}
]
diff --git a/api/pipelines/Reporting stage b/api/pipelines/Reporting stage
index 529614d1..1d2fa350 100644
--- a/api/pipelines/Reporting stage
+++ b/api/pipelines/Reporting stage
@@ -7,15 +7,15 @@
"pipelines": [
"Feature engineering",
"__default__",
- "Data ingestion",
+ "Reporting stage",
"Pre-modelling",
- "Reporting stage"
+ "Data ingestion"
],
"type": "data",
"modular_pipelines": [
"ingestion",
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "primary",
"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -30,15 +30,15 @@
"name": "feature_importance_output",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Reporting stage"
],
"type": "data",
"modular_pipelines": [
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "feature",
"dataset_type": "pandas.csv_dataset.CSVDataset",
@@ -249,91 +249,91 @@
"edges": [
{
"source": "reporting",
- "target": "c0be8342"
+ "target": "3b199c6b"
},
{
- "source": "reporting",
- "target": "8838ca1f"
+ "source": "44ef9b48",
+ "target": "c0be8342"
},
{
"source": "c7646ea1",
"target": "d0e9b00f"
},
{
- "source": "44ef9b48",
- "target": "c0be8342"
+ "source": "reporting",
+ "target": "eb7d6d28"
},
{
- "source": "3fb71518",
- "target": "8838ca1f"
+ "source": "reporting",
+ "target": "c6992660"
},
{
- "source": "40886786",
- "target": "c6992660"
+ "source": "reporting",
+ "target": "8838ca1f"
},
{
- "source": "be6b7919",
- "target": "3b199c6b"
+ "source": "reporting",
+ "target": "d0e9b00f"
},
{
"source": "9f266f06",
"target": "44ef9b48"
},
{
- "source": "4adb5c8b",
- "target": "eb7d6d28"
+ "source": "3fb71518",
+ "target": "8838ca1f"
+ },
+ {
+ "source": "reporting",
+ "target": "c0be8342"
},
{
"source": "9f266f06",
- "target": "40886786"
+ "target": "reporting"
},
{
"source": "9f266f06",
- "target": "c7646ea1"
+ "target": "3fb71518"
},
{
- "source": "reporting",
- "target": "d0e9b00f"
+ "source": "be6b7919",
+ "target": "3b199c6b"
},
{
- "source": "reporting",
- "target": "eb7d6d28"
+ "source": "40886786",
+ "target": "c6992660"
},
{
- "source": "9f266f06",
+ "source": "1e3cc50a",
"target": "reporting"
},
{
"source": "9f266f06",
- "target": "be6b7919"
- },
- {
- "source": "1e3cc50a",
- "target": "reporting"
+ "target": "40886786"
},
{
"source": "1e3cc50a",
"target": "4adb5c8b"
},
{
- "source": "9f266f06",
- "target": "3fb71518"
+ "source": "4adb5c8b",
+ "target": "eb7d6d28"
},
{
- "source": "reporting",
- "target": "3b199c6b"
+ "source": "9f266f06",
+ "target": "c7646ea1"
},
{
- "source": "reporting",
- "target": "c6992660"
+ "source": "9f266f06",
+ "target": "be6b7919"
}
],
"layers": [
"feature",
"primary",
+ "raw",
"intermediate",
"model_input",
- "raw",
"reporting"
],
"tags": [
@@ -388,23 +388,23 @@
"outputs": [],
"children": [
{
- "id": "reporting",
- "type": "modularPipeline"
+ "id": "8838ca1f",
+ "type": "data"
},
{
- "id": "eb7d6d28",
+ "id": "3b199c6b",
"type": "data"
},
{
- "id": "9f266f06",
- "type": "data"
+ "id": "reporting",
+ "type": "modularPipeline"
},
{
- "id": "8838ca1f",
+ "id": "eb7d6d28",
"type": "data"
},
{
- "id": "3b199c6b",
+ "id": "d0e9b00f",
"type": "data"
},
{
@@ -412,15 +412,15 @@
"type": "data"
},
{
- "id": "1e3cc50a",
+ "id": "9f266f06",
"type": "data"
},
{
- "id": "d0e9b00f",
+ "id": "c6992660",
"type": "data"
},
{
- "id": "c6992660",
+ "id": "1e3cc50a",
"type": "data"
}
]
@@ -433,36 +433,36 @@
"9f266f06"
],
"outputs": [
- "c0be8342",
- "d0e9b00f",
"8838ca1f",
- "c6992660",
+ "d0e9b00f",
+ "3b199c6b",
"eb7d6d28",
- "3b199c6b"
+ "c6992660",
+ "c0be8342"
],
"children": [
{
- "id": "be6b7919",
+ "id": "c7646ea1",
"type": "task"
},
{
- "id": "44ef9b48",
+ "id": "40886786",
"type": "task"
},
{
- "id": "4adb5c8b",
+ "id": "3fb71518",
"type": "task"
},
{
- "id": "c7646ea1",
+ "id": "be6b7919",
"type": "task"
},
{
- "id": "3fb71518",
+ "id": "4adb5c8b",
"type": "task"
},
{
- "id": "40886786",
+ "id": "44ef9b48",
"type": "task"
}
]
diff --git a/api/pipelines/__default__ b/api/pipelines/__default__
index 2b2bdf45..9c8a6451 100644
--- a/api/pipelines/__default__
+++ b/api/pipelines/__default__
@@ -8,8 +8,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -25,8 +25,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -48,8 +48,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -69,8 +69,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -88,8 +88,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -109,8 +109,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "parameters",
"modular_pipelines": null,
@@ -124,8 +124,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -147,8 +147,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -164,8 +164,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -187,8 +187,8 @@
],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -208,8 +208,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -223,8 +223,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -243,8 +243,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -259,15 +259,15 @@
"pipelines": [
"Feature engineering",
"__default__",
- "Data ingestion",
+ "Reporting stage",
"Pre-modelling",
- "Reporting stage"
+ "Data ingestion"
],
"type": "data",
"modular_pipelines": [
"ingestion",
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "primary",
"dataset_type": "pandas.parquet_dataset.ParquetDataset",
@@ -282,10 +282,10 @@
"name": "prm_spine_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "Feature engineering",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -305,8 +305,8 @@
"name": "create_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -341,8 +341,8 @@
"name": "params:feature_engineering.feature.derived",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -356,8 +356,8 @@
"name": "feature_engineering.feat_derived_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -376,8 +376,8 @@
"name": "create_feature_importance",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -391,15 +391,15 @@
"name": "feature_importance_output",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Reporting stage"
],
"type": "data",
"modular_pipelines": [
- "feature_engineering",
- "reporting"
+ "reporting",
+ "feature_engineering"
],
"layer": "feature",
"dataset_type": "pandas.csv_dataset.CSVDataset",
@@ -414,8 +414,8 @@
"name": "create_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -441,8 +441,8 @@
"name": "params:feature_engineering.feature.static",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "parameters",
@@ -456,8 +456,8 @@
"name": "feature_engineering.feat_static_features",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "data",
@@ -477,8 +477,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "task",
"modular_pipelines": [
@@ -492,8 +492,8 @@
"tags": [],
"pipelines": [
"Pre-modelling",
- "__default__",
- "Data ingestion"
+ "Data ingestion",
+ "__default__"
],
"type": "data",
"modular_pipelines": [
@@ -665,8 +665,8 @@
"name": "joiner",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__"
],
"type": "task",
@@ -680,8 +680,8 @@
"name": "model_input_table",
"tags": [],
"pipelines": [
- "Feature engineering",
"Pre-modelling",
+ "Feature engineering",
"__default__",
"Modelling stage"
],
@@ -771,9 +771,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -794,9 +794,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -817,9 +817,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -837,9 +837,9 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
+ "train_evaluation.linear_regression",
"train_evaluation.random_forest",
- "train_evaluation.linear_regression"
+ "train_evaluation"
],
"layer": null,
"dataset_type": "io.memory_dataset.MemoryDataset",
@@ -891,8 +891,8 @@
"id": "10e51dea",
"name": "train_evaluation.linear_regression.regressor",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__",
@@ -918,8 +918,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.linear_regression"
+ "train_evaluation.linear_regression",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.json_dataset.JSONDataset",
@@ -980,8 +980,8 @@
"id": "01675921",
"name": "train_evaluation.random_forest.regressor",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__",
@@ -1007,8 +1007,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.random_forest"
+ "train_evaluation.random_forest",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.json_dataset.JSONDataset",
@@ -1042,8 +1042,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.linear_regression"
+ "train_evaluation.linear_regression",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.metrics_dataset.MetricsDataset",
@@ -1077,8 +1077,8 @@
],
"type": "data",
"modular_pipelines": [
- "train_evaluation",
- "train_evaluation.random_forest"
+ "train_evaluation.random_forest",
+ "train_evaluation"
],
"layer": null,
"dataset_type": "tracking.metrics_dataset.MetricsDataset",
@@ -1101,8 +1101,8 @@
"id": "ingestion",
"name": "ingestion",
"tags": [
- "companies",
- "shuttles"
+ "shuttles",
+ "companies"
],
"pipelines": [
"__default__"
@@ -1130,8 +1130,8 @@
"id": "train_evaluation",
"name": "train_evaluation",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__"
@@ -1146,8 +1146,8 @@
"id": "train_evaluation.linear_regression",
"name": "train_evaluation.linear_regression",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__"
@@ -1162,8 +1162,8 @@
"id": "train_evaluation.random_forest",
"name": "train_evaluation.random_forest",
"tags": [
- "evaluate",
- "train"
+ "train",
+ "evaluate"
],
"pipelines": [
"__default__"
@@ -1177,444 +1177,444 @@
],
"edges": [
{
- "source": "ingestion",
- "target": "c08c7708"
- },
- {
- "source": "f6d9538c",
- "target": "train_evaluation"
- },
- {
- "source": "44ef9b48",
- "target": "c0be8342"
+ "source": "c7646ea1",
+ "target": "d0e9b00f"
},
{
"source": "feature_engineering",
"target": "1e3cc50a"
},
{
- "source": "2816ba38",
- "target": "f6d9538c"
- },
- {
- "source": "04ba733a",
- "target": "7c92a703"
- },
- {
- "source": "a3627e31",
- "target": "e50f81b8"
- },
- {
- "source": "98eb115e",
- "target": "af9a43c8"
- },
- {
- "source": "40886786",
- "target": "c6992660"
- },
- {
- "source": "7c92a703",
- "target": "6ea2ec2c"
- },
- {
- "source": "872981f9",
- "target": "bf8530bc"
- },
- {
- "source": "7932e672",
- "target": "1e3cc50a"
+ "source": "d2885635",
+ "target": "495a0bbc"
},
{
- "source": "038647c7",
- "target": "01675921"
+ "source": "train_evaluation",
+ "target": "4f79de77"
},
{
- "source": "f33b9291",
- "target": "c0ddbcbf"
+ "source": "6ea2ec2c",
+ "target": "23c94afb"
},
{
"source": "01675921",
"target": "bf8530bc"
},
{
- "source": "9f266f06",
- "target": "40886786"
+ "source": "9ca016a8",
+ "target": "af9a43c8"
},
{
- "source": "abed6a4d",
- "target": "feature_engineering"
+ "source": "b5609df0",
+ "target": "ea604da4"
},
{
- "source": "9f266f06",
- "target": "c7646ea1"
+ "source": "train_evaluation.linear_regression",
+ "target": "495a0bbc"
},
{
- "source": "abed6a4d",
- "target": "04ba733a"
+ "source": "reporting",
+ "target": "d0e9b00f"
},
{
- "source": "ingestion",
- "target": "f063cc82"
+ "source": "9f266f06",
+ "target": "44ef9b48"
},
{
- "source": "98eb115e",
- "target": "train_evaluation.linear_regression"
+ "source": "cae2d1c7",
+ "target": "af9a43c8"
},
{
- "source": "1e3cc50a",
- "target": "reporting"
+ "source": "train_evaluation.linear_regression",
+ "target": "b701864d"
},
{
"source": "9f266f06",
"target": "3fb71518"
},
{
- "source": "aed46479",
- "target": "69c523b6"
+ "source": "c0ddbcbf",
+ "target": "cb5166f3"
},
{
- "source": "reporting",
- "target": "8838ca1f"
+ "source": "be6b7919",
+ "target": "3b199c6b"
},
{
- "source": "c7646ea1",
- "target": "d0e9b00f"
+ "source": "8de402c1",
+ "target": "8f20d98e"
},
{
"source": "f063cc82",
"target": "feature_engineering"
},
{
- "source": "f063cc82",
- "target": "04ba733a"
+ "source": "9f266f06",
+ "target": "e50f81b8"
},
{
- "source": "train_evaluation",
- "target": "b701864d"
+ "source": "98eb115e",
+ "target": "train_evaluation"
},
{
- "source": "9f266f06",
- "target": "e50f81b8"
+ "source": "train_evaluation",
+ "target": "495a0bbc"
},
{
- "source": "f23ad217",
- "target": "8de402c1"
+ "source": "train_evaluation",
+ "target": "b701864d"
},
{
- "source": "2816ba38",
- "target": "9ca016a8"
+ "source": "4f7ffa1b",
+ "target": "cb5166f3"
},
{
- "source": "cae2d1c7",
- "target": "038647c7"
+ "source": "872981f9",
+ "target": "d2885635"
},
{
"source": "038647c7",
- "target": "4f79de77"
+ "target": "01675921"
},
{
- "source": "feature_engineering",
- "target": "23c94afb"
+ "source": "cb5166f3",
+ "target": "9f266f06"
},
{
- "source": "9ca016a8",
- "target": "038647c7"
+ "source": "23c94afb",
+ "target": "2816ba38"
},
{
- "source": "e50f81b8",
- "target": "8e4f1015"
+ "source": "22eec376",
+ "target": "2816ba38"
},
{
- "source": "cb5166f3",
- "target": "f063cc82"
+ "source": "reporting",
+ "target": "3b199c6b"
},
{
"source": "872981f9",
- "target": "train_evaluation.random_forest"
+ "target": "train_evaluation"
},
{
- "source": "2816ba38",
- "target": "cae2d1c7"
+ "source": "44ef9b48",
+ "target": "c0be8342"
},
{
- "source": "872981f9",
- "target": "d2885635"
- },
- {
- "source": "72baf5c6",
- "target": "038647c7"
+ "source": "7932e672",
+ "target": "1e3cc50a"
},
{
- "source": "9f266f06",
- "target": "reporting"
+ "source": "9a6ef457",
+ "target": "c08c7708"
},
{
- "source": "ea604da4",
- "target": "4f7ffa1b"
+ "source": "f063cc82",
+ "target": "9a6ef457"
},
{
- "source": "f6d9538c",
- "target": "bf8530bc"
+ "source": "2816ba38",
+ "target": "872981f9"
},
{
- "source": "f1d596c2",
- "target": "f33b9291"
+ "source": "8f20d98e",
+ "target": "cb5166f3"
},
{
- "source": "72baf5c6",
- "target": "train_evaluation.random_forest"
+ "source": "reporting",
+ "target": "c6992660"
},
{
- "source": "train_evaluation",
- "target": "b16095d0"
+ "source": "9f266f06",
+ "target": "feature_engineering"
},
{
- "source": "7b2c6e04",
- "target": "ea604da4"
+ "source": "f6d9538c",
+ "target": "d2885635"
},
{
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- "target": "6ea2ec2c"
+ "source": "2816ba38",
+ "target": "9ca016a8"
},
{
- "source": "a3627e31",
- "target": "feature_engineering"
+ "source": "reporting",
+ "target": "c0be8342"
},
{
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@@ -1677,43 +1677,51 @@
"outputs": [],
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{
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+ "id": "495a0bbc",
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{
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{
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{
@@ -1725,92 +1733,84 @@
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{
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+ "id": "f063cc82",
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{
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{
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{
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{
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{
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{
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{
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@@ -1818,10 +1818,10 @@
"id": "feature_engineering",
"name": "feature_engineering",
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- "abed6a4d",
+ "a3627e31",
"9f266f06",
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@@ -1829,19 +1829,19 @@
],
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@@ -1849,8 +1849,8 @@
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{
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+ "id": "8e4f1015",
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@@ -1859,14 +1859,14 @@
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- "aed46479",
"b5609df0",
- "f1d596c2"
+ "f1d596c2",
+ "aed46479"
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"f063cc82",
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{
@@ -1874,23 +1874,19 @@
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{
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{
@@ -1898,15 +1894,19 @@
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{
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{
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@@ -1919,36 +1919,36 @@
"9f266f06"
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- "d0e9b00f",
"8838ca1f",
- "c6992660",
+ "d0e9b00f",
+ "3b199c6b",
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+ "c6992660",
+ "c0be8342"
],
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{
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{
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{
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{
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@@ -1958,25 +1958,25 @@
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- "9ca016a8",
"f6d9538c",
"872981f9",
+ "98eb115e",
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+ "9ca016a8"
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"4f79de77",
- "495a0bbc"
+ "495a0bbc",
+ "b701864d",
+ "b16095d0"
],
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{
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+ "id": "train_evaluation.linear_regression",
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{
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+ "id": "train_evaluation.random_forest",
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@@ -1986,14 +1986,14 @@
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- "9ca016a8",
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+ "98eb115e",
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+ "495a0bbc",
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{
@@ -2015,14 +2015,14 @@
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"f6d9538c",
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+ "72baf5c6",
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+ "4f79de77",
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