c6ee8ee45b7b854fa2731b6f238e223ec24e1cab,yellowbrick/features/manifold.py,Manifold,fit_transform,#Manifold#Any#Any#,293

Before Change


        self._determine_target_color_type(y)

        // Compute classes and colors if target type is discrete
        if self._target_color_type == DISCRETE:
            self.classes_ = np.unique(y)

            color_kwargs = {"n_colors": len(self.classes_)}

            if isinstance(self.colors, str):
                color_kwargs["colormap"] = self.colors
            else:
                color_kwargs["colors"] = self.colors

            self._colors = resolve_colors(**color_kwargs)

        // Compute target range if colors are continuous
        elif self._target_color_type == CONTINUOUS:
            y = np.asarray(y)
            self.range_ = (y.min(), y.max())

        with Timer() as self.fit_time_:
            Xp = self.manifold.fit_transform(X)

        self.draw(Xp, y)

After Change


        // fit and transform methods, but must do it manually here.

        // Call super fit to compute features, classes, colors, etc.
        super(Manifold, self).fit(X, y)
        with Timer() as self.fit_time_:
            Xp = self.manifold.fit_transform(X)
        self.draw(Xp, y)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 10

Instances


Project Name: DistrictDataLabs/yellowbrick
Commit Name: c6ee8ee45b7b854fa2731b6f238e223ec24e1cab
Time: 2019-07-27
Author: 43993586+naresh-bachwani@users.noreply.github.com
File Name: yellowbrick/features/manifold.py
Class Name: Manifold
Method Name: fit_transform


Project Name: home-assistant/home-assistant
Commit Name: 6e8c79d5310396987cf39d65ea40279abb799754
Time: 2016-02-17
Author: marhje52@kth.se
File Name: homeassistant/components/light/mysensors.py
Class Name: MySensorsLightRGBW
Method Name: update


Project Name: deepmipt/DeepPavlov
Commit Name: 5bab0c451fda1312cf81e9d81319799a03fce181
Time: 2018-12-26
Author: mary.vikhreva@gmail.com
File Name: deeppavlov/models/squad/squad.py
Class Name: SquadModel
Method Name: process_event