def pipeline(name):
if name == 'naive_bayes_counts':
return pipelines.naive_bayes_counts()
elif name == 'naive_bayes_tfidf':
return pipelines.naive_bayes_tfidf()
elif name == 'naive_bayes_tfidf_stopwords':
return pipelines.naive_bayes_tfidf_stopwords()
elif name == 'naive_bayes_bigram':
return pipelines.naive_bayes_bigram()
elif name == 'naive_bayes_trigram':
return pipelines.naive_bayes_trigram()
elif name == 'naive_bayes_counts_lex':
return pipeline_with_lexicon.naive_bayes_counts_lex()
elif name == 'svm_libsvc_counts':
return pipelines.svm_libsvc_counts()
elif name == 'svm_libsvc_tfidf':
return pipelines.svm_libsvc_tfidf()
elif name == 'svm_libsvc_tfidf_stopwords':
return pipelines.svm_libsvc_tfidf_stopwords()
elif name == 'svm_libsvc_counts_bigram':
return pipelines.svm_libsvc_counts_bigram()
elif name == 'svm_libsvc_embed':
return pipelines.svm_libsvc_embed()
elif name == 'svm_sigmoid_embed':
return pipelines.svm_sigmoid_embed()
elif name == 'random_forest_tfidf':
return pipelines.random_forest_tfidf()
elif name == 'random_forest_tfidf_stopwords':
return pipelines.random_forest_tfidf_stopwords()
elif name == 'random_forest_embed':
return pipelines.random_forest_embed()
else:
raise ValueError(
"pipeline name is unknown. You can add a custom pipeline in 'pipelines'"
)
def pipeline(name):
if name == 'naive_bayes':
return pipelines.naive_bayes()
elif name == 'svm_libsvc_counts':
return pipelines.svm_libsvc_counts()
elif name == 'svm_libsvc_tfidf':
return pipelines.svm_libsvc_tfidf()
elif name == 'svm_libsvc_embed':
return pipelines.svm_libsvc_embed()
elif name == 'svm_sigmoid_embed':
return pipelines.svm_sigmoid_embed()
else:
raise ValueError("pipeline name is unknown. You can add a custom pipeline in 'pipelines'")