8000 DOC Fix notebook-style for plot_document_clustering.py by gpapadok · Pull Request #22443 · scikit-learn/scikit-learn · GitHub
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DOC Fix notebook-style for plot_document_clustering.py #22443

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Merged
merged 2 commits into from
Feb 14, 2022
Merged

DOC Fix notebook-style for plot_document_clustering.py #22443

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ca2c40f
fix notebook-style for plot_document_clustering
Feb 10, 2022
55cd049
remove print_help from interactive mode
Feb 11, 2022
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27 changes: 22 additions & 5 deletions examples/text/plot_document_clustering.py
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Original file line number Diff line number Diff line change
Expand Up @@ -118,14 +118,16 @@
)

print(__doc__)
op.print_help()
print()


def is_interactive():
return not hasattr(sys.modules["__main__"], "__file__")


if not is_interactive():
op.print_help()
print()

# work-around for Jupyter notebook and IPython console
argv = [] if is_interactive() else sys.argv[1:]
(opts, args) = op.parse_args(argv)
Expand All @@ -134,8 +136,10 @@ def is_interactive():
sys.exit(1)


# #############################################################################
# %%
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@glemaitre glemaitre Feb 11, 2022

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Looking at the rendering, I see that we always print the documentation if we are using the file as a script.

Could you edit the l.121 to not print it in interactive mode?

# Load some categories from the training set
# ------------------------------------------

categories = [
"alt.atheism",
"talk.religion.misc",
Expand All @@ -156,6 +160,11 @@ def is_interactive():
print("%d categories" % len(dataset.target_names))
print()


# %%
# Feature Extraction
# ------------------

labels = dataset.target
true_k = np.unique(labels).shape[0]

Expand Down Expand Up @@ -214,8 +223,9 @@ def is_interactive():
print()


# #############################################################################
# Do the actual clustering
# %%
# Clustering
# ----------

if opts.minibatch:
km = MiniBatchKMeans(
Expand All @@ -241,6 +251,11 @@ def is_interactive():
print("done in %0.3fs" % (time() - t0))
print()


# %%
# Performance metrics
# -------------------

print("Homogeneity: %0.3f" % metrics.homogeneity_score(labels, km.labels_))
print("Completeness: %0.3f" % metrics.completeness_score(labels, km.labels_))
print("V-measure: %0.3f" % metrics.v_measure_score(labels, km.labels_))
Expand All @@ -253,6 +268,8 @@ def is_interactive():
print()


# %%

if not opts.use_hashing:
print("Top terms per cluster:")

Expand Down
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