\n",
"\n",
"A demo of linear-regression.
\n",
"\n",
"A demo of linear-regression.
KMeans(algorithm='full', init='random', max_iter=3, n_clusters=5, n_init=1,\n",
" random_state=0)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. KMeans(algorithm='full', init='random', max_iter=3, n_clusters=5, n_init=1,\n",
" random_state=0)KMeans(algorithm='full', init='random', n_clusters=5, n_init=10, random_state=2)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KMeans(algorithm='full', init='random', n_clusters=5, n_init=10, random_state=2)
KMeans()In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KMeans()
MiniBatchKMeans(n_clusters=5, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
MiniBatchKMeans(n_clusters=5, random_state=42)
MiniBatchKMeans(batch_size=10, n_clusters=10, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
MiniBatchKMeans(batch_size=10, n_clusters=10, random_state=42)
KMeans(n_clusters=3, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KMeans(n_clusters=3, random_state=42)
\n",
"\n",
"A demo of linear-regression.
\n",
"\n",
"A demo of linear-regression.
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)
Pipeline(steps=[('kmeans', KMeans(n_clusters=50, random_state=42)),\n",
" ('log_reg',\n",
" LogisticRegression(max_iter=5000, multi_class='ovr',\n",
" random_state=42))])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. Pipeline(steps=[('kmeans', KMeans(n_clusters=50, random_state=42)),\n",
" ('log_reg',\n",
" LogisticRegression(max_iter=5000, multi_class='ovr',\n",
" random_state=42))])KMeans(n_clusters=50, random_state=42)
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)
GridSearchCV(cv=3,\n",
" estimator=Pipeline(steps=[('kmeans',\n",
" KMeans(n_clusters=50, random_state=42)),\n",
" ('log_reg',\n",
" LogisticRegression(max_iter=5000,\n",
" multi_class='ovr',\n",
" random_state=42))]),\n",
" param_grid={'kmeans__n_clusters': range(2, 100)}, verbose=2)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=3,\n",
" estimator=Pipeline(steps=[('kmeans',\n",
" KMeans(n_clusters=50, random_state=42)),\n",
" ('log_reg',\n",
" LogisticRegression(max_iter=5000,\n",
" multi_class='ovr',\n",
" random_state=42))]),\n",
" param_grid={'kmeans__n_clusters': range(2, 100)}, verbose=2)Pipeline(steps=[('kmeans', KMeans(n_clusters=50, random_state=42)),\n",
" ('log_reg',\n",
" LogisticRegression(max_iter=5000, multi_class='ovr',\n",
" random_state=42))])KMeans(n_clusters=50, random_state=42)
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
LogisticRegression(max_iter=5000, multi_class='ovr', random_state=42)
\n",
"\n",
"A demo of linear-regression.
\n",
"\n",
"A demo of linear-regression.
DBSCAN(eps=0.05)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
DBSCAN(eps=0.05)
DBSCAN(eps=0.2)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
DBSCAN(eps=0.2)
KNeighborsClassifier(n_neighbors=50)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
KNeighborsClassifier(n_neighbors=50)
SpectralClustering(gamma=100, n_clusters=2, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
SpectralClustering(gamma=100, n_clusters=2, random_state=42)
SpectralClustering(gamma=1, n_clusters=2, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
SpectralClustering(gamma=1, n_clusters=2, random_state=42)