Merge pull request #55 from eXascaleInfolab/naterq_pp_docker

naterq pp docker:
- docker compose
- notebook
- correction plots

Author: qnater

.gitignore

@@ -1,4 +1,6 @@
 # Ignore configuration and build script
 .pypirc
 build_script.txt
-*03_imputegap_exercices.ipynb
+*03_imputegap_exercices.ipynb
+*03_imputegap_exercices_sol.ipynb
+*assignment_imputegap.ipynb

.idea/imputegap.iml

@@ -330,7 +330,7 @@ The benchmarking module can be utilized as follows:
 ```python
 from imputegap.recovery.benchmark import Benchmark
 
-my_algorithms = ["SoftImpute", "KNNImpute"]
+my_algorithms = ["SoftImpute", "MeanImpute", "CDRec"]
 
 my_opt = ["default_params"]
 
@@ -388,7 +388,7 @@ imputer.impute()
 # compute and print the downstream results
 downstream_config = {"task": "forecast", "model": "hw-add", "comparator": "ZeroImpute"}
 imputer.score(ts.data, imputer.recov_data, downstream=downstream_config)
-ts.print_results(imputer.downstream_metrics, algorithm=imputer.algorithm)
+ts.print_results(imputer.downstream_metrics, text="Downstream results")
 ```
 
 All downstream models developed in ImputeGAP are available in the ``ts.forecasting_models`` module, which can be listed as follows: