Digging deeper into your toolbox (Viewing LDiA code of sklearn)

Digging deeper into your toolbox

You can find the source code path in the __file__ attribute on any Python module, such as sklearn.__file__. And in ipython (jupyter console), you can view the
source code for any function, class, or object with ??, like LDA??:


>>> import sklearn

>>> sklearn.__file__

'/Users/hobs/anaconda3/envs/conda_env_nlpia/lib/python3.6/site-packages/sklearn/__init__.py'

>>> from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
>>> from sklearn.decomposition import LatentDirichletAllocation as LDiA
>>> LDA??

Init signature: LDA(solver='svd', shrinkage=None, priors=None, n_components=None, store_covariance=False, tol=0.0001)
Source:
class LinearDiscriminantAnalysis(BaseEstimator, LinearClassifierMixin, TransformerMixin):
"""Linear Discriminant Analysis
A classifier with a linear decision boundary, generated by fitting class conditional densities to the data and using Bayes' rule. The model fits a Gaussian density to each class, assuming that all classes share the same covariance matrix.
...
    


This won’t work on functions and classes that are extensions, whose source code is hidden within a compiled C++ module.

Tags: Machine Learning,Natural Language Processing,FOSS