View experiment via CLI

[eponvert]

Requirements

View an experiment with high level results analysis with CLI. Terminal output must fit within 80 chars horizontal.

For classification experiments, include overall accuracy and per-label + overall precision, recall, f-score. For less than 10 classes also include a confusion matrix.

Wireframes

Classification experiments:

$ levar-cli view experiment adult exp-0101
Experiment:  exp-0101
Dataset:     adult
Type:        classify
Predictions: 32563 (full dataset coverage)

Results:

Overall accuracy: .931

 Label         | Prec | Rec  | F1
---------------|------|------|------
 <=50K         | .952 | .917 | .934
 >50K          | .871 | .970 | .917
 Macro-Avg     | .912 | .944 | .926

Confusion matrix (columns give predicted counts; rows give gold counts)

Labels        |    <=50K |       >50K |     Totals
--------------|----------|------------|-----------
<=50K         |    22690 |       1142 |      23832
>50K          |     1118 |       7611 |       8729
Totals        |    23808 |       8753 |      32561

Regression experiments:

$ levar-cli view experiment winequality-red exp-234
Experiment:  exp-234
Dataset:     winequality-red
Type:        regression
Predictions: 1599 (full dataset coverage)

Results:
- RMSE:              4.2
- Mean abs error:    4.8
- Median abs error:  3.9
- 10-percentile err: 1.0
- 90-percentile err: 7.1