Learning curve

[qle2]

This PR:

• Adds a function that produces learning curves graphs

• Adds values gathered from skopt during hyperparameter tuning to ontology. Specifically, turn them into properties of the TUNED_WITH relationship

• Gets dictionary of hyperparameter tuning related value as self.cv_results

• Gets a scoring function instant from BayesSearchCV as a model instance. Since regression and classification uses different scoring function, I think this is necessary to add. This scoring function was also put in as a property of TuningAlg node.

[pep8speaks]

Hello @qle2! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

• In the file core/analysis.py:

Line 146:57: E127 continuation line over-indented for visual indent Line 146:80: E501 line too long (119 > 79 characters) Line 147:80: E501 line too long (97 > 79 characters) Line 148:80: E501 line too long (104 > 79 characters) Line 149:80: E501 line too long (107 > 79 characters) Line 150:80: E501 line too long (89 > 79 characters) Line 179:80: E501 line too long (92 > 79 characters)

• In the file core/models.py:

Line 32:80: E501 line too long (94 > 79 characters)

• In the file core/neo4j/make_query.py:

Line 156:1: W293 blank line contains whitespace

• In the file core/neo4j/nodes_to_neo4j.py:

Line 137:80: E501 line too long (118 > 79 characters)

• In the file core/neo4j/rel_to_neo4j.py:

Line 34:80: E501 line too long (97 > 79 characters) Line 93:80: E501 line too long (106 > 79 characters) Line 93:107: W291 trailing whitespace Line 104:80: E501 line too long (92 > 79 characters)

• In the file core/regressors.py:

Line 181:80: E501 line too long (113 > 79 characters)

• In the file main.py:

Line 20:41: E231 missing whitespace after ',' Line 73:80: E501 line too long (110 > 79 characters)

• In the file tests/test_keras.py:

Line 9:80: E501 line too long (116 > 79 characters) Line 16:80: E501 line too long (115 > 79 characters)

Comment last updated at 2020-09-01 23:49:57 UTC