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mloptimizer.aux.plots

mloptimizer.aux.plots#

Module Contents#

Functions#

logbook_to_pandas(logbook)

Function to transform a deap logbook to a pandas dataframe.

plotly_logbook(logbook, population)

Generate plotly figure from logbook. Evolution of fitness and population.

plot_logbook(logbook)

Generate sns figure from logbook. Evolution of fitness and population.

plotly_search_space(populations_df[, features])

Generate plotly figure from populations dataframe and features. Search space.

plot_search_space(populations_df[, height, s])

Generate sns figure from populations dataframe and features. Search space.
mloptimizer.aux.plots.logbook_to_pandas(logbook)[source]#

Function to transform a deap logbook to a pandas dataframe.

Parameters:

logbook (deap.tools.Logbook) – The logbook to transform

Returns:

df – The logbook as a pandas dataframe

Return type:

pd.DataFrame

mloptimizer.aux.plots.plotly_logbook(logbook, population)[source]#

Generate plotly figure from logbook. Evolution of fitness and population.

Parameters:

  • logbook (deap.tools.Logbook) – The logbook to plot

  • population (pd.DataFrame) – The population to plot

Returns:

fig – The figure

Return type:

plotly.graph_objects.Figure

mloptimizer.aux.plots.plot_logbook(logbook)[source]#

Generate sns figure from logbook. Evolution of fitness and population.

Parameters:

logbook (deap.tools.Logbook) – The logbook to plot

Returns:

fig – The figure

Return type:

plotly.graph_objects.Figure

mloptimizer.aux.plots.plotly_search_space(populations_df: pandas.DataFrame, features: list = None)[source]#

Generate plotly figure from populations dataframe and features. Search space.

Parameters:

  • populations_df (pd.DataFrame) – The dataframe with the population

  • features (list) – The features to plot

Returns:

fig – The figure

Return type:

plotly.graph_objects.Figure

mloptimizer.aux.plots.plot_search_space(populations_df: pandas.DataFrame, height=2, s=25)[source]#

Generate sns figure from populations dataframe and features. Search space.

Parameters:

  • populations_df (pd.DataFrame) – The dataframe with the population

  • height (int) – The height of the figure

  • s (int) – The size of the points

Returns:

fig – The figure

Return type:

plotly.graph_objects.Figure

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