X_train changed to x_train

sant_si · sant_si · commit 5a6ffe93571f · 2020-10-26T16:09:48.000+01:00
diff --git a/nlp_imdb.ipynb b/nlp_imdb.ipynb
@@ -198,7 +198,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "clf.fit(X_train_counts, y_train)"
+    "clf.fit(x_train_counts, y_train)"
    ]
   },
   {
@@ -207,7 +207,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "predicted = clf.predict(X_test_counts)"
+    "predicted = clf.predict(x_test_counts)"
    ]
   },
   {
@@ -250,7 +250,7 @@
    "outputs": [],
    "source": [
     "model = models.Sequential()\n",
-    "model.add(layers.Dense(128, activation = \"relu\", input_shape=(X_train_counts.shape[1], )))\n",
+    "model.add(layers.Dense(128, activation = \"relu\", input_shape=(x_train_counts.shape[1], )))\n",
     "# Hidden - Layers\n",
     "model.add(layers.Dropout(0.3, noise_shape=None, seed=None))\n",
     "model.add(layers.Dense(64, activation = \"relu\"))\n",
@@ -276,7 +276,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "model.fit(X_train_counts, y_train, epochs=2)"
+    "model.fit(x_train_counts, y_train, epochs=2)"
    ]
   },
   {
@@ -285,7 +285,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "predicted = model.predict_classes(X_test_counts)"
+    "predicted = model.predict_classes(x_test_counts)"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -198,7 +198,7 @@`
`198`	`198`	`"metadata": {},`
`199`	`199`	`"outputs": [],`
`200`	`200`	`"source": [`
`201`		`- "clf.fit(X_train_counts, y_train)"`
	`201`	`+ "clf.fit(x_train_counts, y_train)"`
`202`	`202`	`]`
`203`	`203`	`},`
`204`	`204`	`{`
`@@ -207,7 +207,7 @@`
`207`	`207`	`"metadata": {},`
`208`	`208`	`"outputs": [],`
`209`	`209`	`"source": [`
`210`		`- "predicted = clf.predict(X_test_counts)"`
	`210`	`+ "predicted = clf.predict(x_test_counts)"`
`211`	`211`	`]`
`212`	`212`	`},`
`213`	`213`	`{`
`@@ -250,7 +250,7 @@`
`250`	`250`	`"outputs": [],`
`251`	`251`	`"source": [`
`252`	`252`	`"model = models.Sequential()\n",`
`253`		`- "model.add(layers.Dense(128, activation = \"relu\", input_shape=(X_train_counts.shape[1], )))\n",`
	`253`	`+ "model.add(layers.Dense(128, activation = \"relu\", input_shape=(x_train_counts.shape[1], )))\n",`
`254`	`254`	`"# Hidden - Layers\n",`
`255`	`255`	`"model.add(layers.Dropout(0.3, noise_shape=None, seed=None))\n",`
`256`	`256`	`"model.add(layers.Dense(64, activation = \"relu\"))\n",`
`@@ -276,7 +276,7 @@`
`276`	`276`	`"metadata": {},`
`277`	`277`	`"outputs": [],`
`278`	`278`	`"source": [`
`279`		`- "model.fit(X_train_counts, y_train, epochs=2)"`
	`279`	`+ "model.fit(x_train_counts, y_train, epochs=2)"`
`280`	`280`	`]`
`281`	`281`	`},`
`282`	`282`	`{`
`@@ -285,7 +285,7 @@`
`285`	`285`	`"metadata": {},`
`286`	`286`	`"outputs": [],`
`287`	`287`	`"source": [`
`288`		`- "predicted = model.predict_classes(X_test_counts)"`
	`288`	`+ "predicted = model.predict_classes(x_test_counts)"`
`289`	`289`	`]`
`290`	`290`	`},`
`291`	`291`	`{`