Pretty print model summaries

[tovbinm]

• Added pretty summary functionality for OP models - model.summaryPretty (example output below), which includes selected model info, model evaluation results and feature correlations/contributions/cramersV values.
• Added a handful of methods to ModelInsights to retrieve information about validation and evaluation results
• Modified and add some enums
• Added tests

Example output model.summaryPretty() function:

Evaluated LogisticRegression model using Cross Validation and area under PR metric.
Evaluated 2 LogisticRegression models with area under PR metric between [0.25, 0.25].
+--------------------------------------------------------------------------------------------+
|                            Selected Model - LogisticRegression                             |
+--------------------------------------------------------------------------------------------+
| Model Param      | Value                                                                   |
+------------------+-------------------------------------------------------------------------+
| aggregationDepth | 2                                                                       |
| area under PR    | 0.25                                                                    |
| elasticNetParam  | 0.1                                                                     |
| family           | auto                                                                    |
| featuresCol      | age-gender-height-survived-weight_6-stagesApplied_OPVector_000000000094 |
| fitIntercept     | true                                                                    |
| labelCol         | survived_1-stagesApplied_RealNN_000000000093                            |
| maxIter          | 50                                                                      |
| modelType        | LogisticRegression                                                      |
| name             | logreg_69488384749f_0                                                   |
| predictionCol    | prediction                                                              |
| probabilityCol   | probability                                                             |
| rawPredictionCol | rawPrediction                                                           |
| regParam         | 0.01                                                                    |
| standardization  | true                                                                    |
| threshold        | 0.5                                                                     |
| tol              | 1.0E-6                                                                  |
| uid              | logreg_69488384749f                                                     |
+------------------+-------------------------------------------------------------------------+
+-------------------------------------------------------+
|               Model Evaluation Metrics                |
+-------------------------------------------------------+
| Metric Name | Training Set Value | Hold Out Set Value |
+-------------+--------------------+--------------------+
| AuPR        | 1.0                | 0.0                |
| AuROC       | 1.0                | 0.0                |
| Error       | 0.0                | 0.0                |
| F1          | 1.0                | 0.0                |
| FN          | 0.0                | 0.0                |
| FP          | 0.0                | 0.0                |
| Precision   | 1.0                | 0.0                |
| Recall      | 1.0                | 0.0                |
| TN          | 4.0                | 1.0                |
| TP          | 1.0                | 0.0                |
+-------------+--------------------+--------------------+
+-------------------------------------------------+
|               Top Model Insights                |
+-------------------------------------------------+
| Top Positive Correlations |   Correlation Value |
+---------------------------+---------------------+
| weight(weight = null)     |  1.0000000000000002 |
| gender(gender = null)     |  1.0000000000000002 |
| age(age = null)           |  0.6123724356957946 |
| weight                    |                 0.0 |
| age                       |                 0.0 |
| height                    | -0.5292379183351017 |
| gender(gender = other)    | -1.0000000000000002 |
+---------------------------+---------------------+
+-------------------------------------------------+
| Top Contributions      |     Contribution Value |
+------------------------+------------------------+
| gender(gender = other) |    -2.5506146558069944 |
| weight(weight = null)  |     2.5506097053715098 |
| gender(gender = null)  |     2.5506097053715098 |
| age(age = null)        |     0.8801282009379419 |
| height                 | -0.0029105396140691126 |
| age                    |  0.0015760812856771072 |
| weight                 |     3.3953008369728E-4 |
+------------------------+------------------------+

[tovbinm]

Moved to internal repo.