recarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

Series.at_time(time, asof=False)

class sklearn.neural_network.MLPRegressor(hidden_layer_sizes=(100, ), activation='relu', solver='adam', alpha=0.0001, batch_size='auto'

statsmodels.robust.norms.RamsayE class statsmodels.robust.norms.RamsayE(a=0.3)

Repr.maxlist Repr.maxtuple Repr.maxset Repr.maxfrozenset

Class-based views API reference. For introductory material, see the Class-based views topic guide.

statsmodels.regression.mixed_linear_model.MixedLMResults.cov_params

addError(test, err) Called when the test case test raises an unexpected exception. err is a tuple of the form

statsmodels.regression.quantile_regression.QuantRegResults.HC1_se

Panel.replace(win) Change the window associated with the panel to the window win.