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unmerged_grid_search_graph.dot
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unmerged_grid_search_graph.dot
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digraph unmerged {
rankdir="BT"
node [fontname = "Inconsolata"]
data [label="Training Data"]
vect1 [label="CountVectorizer\n- ngram_range=(1, 1)"]
vect2 [label="CountVectorizer\n- ngram_range=(1, 1)"]
vect3 [label="CountVectorizer\n- ngram_range=(1, 1)"]
vect4 [label="CountVectorizer\n- ngram_range=(1, 1)"]
vect5 [label="CountVectorizer\n- ngram_range=(1, 1)"]
vect6 [label="CountVectorizer\n- ngram_range=(1, 1)"]
tfidf1 [label="TfidfTransformer\n- norm='l1'"]
tfidf2 [label="TfidfTransformer\n- norm='l1'"]
tfidf3 [label="TfidfTransformer\n- norm='l1'"]
tfidf4 [label="TfidfTransformer\n- norm='l2'"]
tfidf5 [label="TfidfTransformer\n- norm='l2'"]
tfidf6 [label="TfidfTransformer\n- norm='l2'"]
sgd1 [label="SGDClassifier\n- alpha=1e-3"]
sgd2 [label="SGDClassifier\n- alpha=1e-4"]
sgd3 [label="SGDClassifier\n- alpha=1e-5"]
sgd4 [label="SGDClassifier\n- alpha=1e-3"]
sgd5 [label="SGDClassifier\n- alpha=1e-4"]
sgd6 [label="SGDClassifier\n- alpha=1e-5"]
best [label="Choose Best Parameters"]
data -> vect1 -> tfidf1 -> sgd1 -> best
data -> vect2 -> tfidf2 -> sgd2 -> best
data -> vect3 -> tfidf3 -> sgd3 -> best
data -> vect4 -> tfidf4 -> sgd4 -> best
data -> vect5 -> tfidf5 -> sgd5 -> best
data -> vect6 -> tfidf6 -> sgd6 -> best
}