In [1]:

    

from harness import Harness
from sklearn import decomposition


    

In [2]:

    

df = Harness(estimator=decomposition.PCA())


    

In [3]:

    

df.estimator


    

    
Out[3]:





PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
  svd_solver='auto', tol=0.0, whiten=False)

In [4]:

    

df.fit


    

    
Out[4]:





Fit the model with X.

        Parameters
        ----------
        X: array-like, shape (n_samples, n_features)
            Training data, where n_samples in the number of samples
            and n_features is the number of features.

        Returns
        -------
        self : object
            Returns the instance itself.
        

In [5]:

    

df.Scatter


    

    
Out[5]:





 Create a scatter chart using :class:`ScatterBuilder <bokeh.charts.builders.scatter_builder.ScatterBuilder>`
    to render the geometry from values.

    Args:
        data (:ref:`userguide_charts_data_types`): table-like data
        x (str or list(str), optional): the column label to use for the x dimension
        y (str or list(str), optional): the column label to use for the y dimension

    In addition to the parameters specific to this chart,
    :ref:`userguide_charts_defaults` are also accepted as keyword parameters.

    Returns:
        :class:`Chart`: includes glyph renderers that generate the scatter points

    Examples:

    .. bokeh-plot::
        :source-position: above

        from bokeh.sampledata.autompg import autompg as df
        from bokeh.charts import Scatter, output_file, show

        scatter = Scatter(df, x='mpg', y='hp', color='cyl', marker='origin',
                          title="Auto MPG", xlabel="Miles Per Gallon",
                          ylabel="Horsepower")

        output_file('scatter.html')
        show(scatter)

    

In [6]:

    

# Reprs dont work for bokeh models
print(df.Circle)


    

    




 Render circle markers. 

    Example
    -------

    .. bokeh-plot:: ../tests/glyphs/Circle.py
        :source-position: none

    *source:* `tests/glyphs/Circle.py <https://github.com/bokeh/bokeh/tree/master/tests/glyphs/Circle.py>`_

In [7]:

    

df.output_notebook


    

    
Out[7]:





 Configure the default output state to generate output in
    Jupyter/IPython notebook cells when :func:`show` is called.

    If output_server() has also been called, the notebook cells
    are loaded from the configured server; otherwise, Bokeh pushes
    HTML to the notebook directly.

    Args:
        resources (Resource, optional) :
            How and where to load BokehJS from (default: CDN)

        verbose (bool, optional) :
            whether to display detailed BokehJS banner (default: False)

        hide_banner (bool, optional):
            whether to hide the Bokeh banner (default: False)

        load_timeout (int, optional) :
            Timeout in milliseconds when plots assume load timed out (default: 5000)

    Returns:
        None

    .. note::
        Generally, this should be called at the beginning of an interactive
        session or the top of a script.

    

In [8]:

    

df.output_file


    

    
Out[8]:





Configure the default output state to generate output saved
    to a file when :func:`show` is called.

    Does not change the current Document from curdoc(). File,
    server, and notebook output may be active at the same time, so
    this does not clear the effects of output_server() or
    output_notebook().

    Args:
        filename (str) : a filename for saving the HTML document

        title (str, optional) : a title for the HTML document (default: "Bokeh Plot")

        autosave (bool, optional) : whether to automatically save (default: False)
            If True, then Bokeh plotting APIs may opt to automatically
            save the file more frequently (e.g., after any plotting
            command). If False, then the file is only saved upon calling
            :func:`show` or :func:`save`.

        mode (str, optional) : how to include BokehJS (default: ``'cdn'``)
            One of: ``'inline'``, ``'cdn'``, ``'relative(-dev)'`` or
            ``'absolute(-dev)'``. See :class:`bokeh.resources.Resources` for more details.

        root_dir (str, optional) : root directory to use for 'absolute' resources. (default: None)
            This value is ignored for other resource types, e.g. ``INLINE`` or
            ``CDN``.

    Returns:
        None

    .. note::
        Generally, this should be called at the beginning of an interactive
        session or the top of a script.

    .. warning::
        This output file will be overwritten on every save, e.g., each time
        show() or save() is invoked, or any time a Bokeh plotting API
        causes a save, if ``autosave`` is True.

    

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