Release Notes
`cftool.ml.utils`
`Estimator`
Util class to estimate the performances of a group of methods, on specific dataset & metric
Parameters
+ metric_type : str, indicates which kind of metric is to be calculated
+ **kwargs : used to initialize `Metrics` instance
Examples
python
import numpy as np
x, y = map(np.atleast_2d, [[1., 2., 3.], [0., 2., 1.]])
identical = lambda x_: x_
minus_one = lambda x_: x_ - 1
==========================================================
| identical | mae | 1.000000 |
| minus_one | mae | 0.666667 | <-
----------------------------------------------------------
Estimator("mae").estimate(x, y, {"identical": identical, "minus_one": minus_one})
`Visualizer`
`Visualizer.visualize1d` and `Visualizer.visualize2d` are implemented to visualize machine learning models on:
+ 1-dimensional **regression** tasks
+ 2-dimensional **classification** tasks