Iris-Virginica => Iris virginica (& same for versicolor and setosa)
Aurélien Geron
parent
aad780b74b
commit
87ea670bef
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@ -1070,7 +1070,7 @@
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"outputs": [],
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"source": [
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"X = iris[\"data\"][:, 3:] # petal width\n",
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"y = (iris[\"target\"] == 2).astype(np.int) # 1 if Iris-Virginica, else 0"
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"y = (iris[\"target\"] == 2).astype(np.int) # 1 if Iris virginica, else 0"
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]
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},
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{
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@ -1100,8 +1100,8 @@
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"X_new = np.linspace(0, 3, 1000).reshape(-1, 1)\n",
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"y_proba = log_reg.predict_proba(X_new)\n",
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"\n",
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"plt.plot(X_new, y_proba[:, 1], \"g-\", linewidth=2, label=\"Iris-Virginica\")\n",
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"plt.plot(X_new, y_proba[:, 0], \"b--\", linewidth=2, label=\"Not Iris-Virginica\")"
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"plt.plot(X_new, y_proba[:, 1], \"g-\", linewidth=2, label=\"Iris virginica\")\n",
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"plt.plot(X_new, y_proba[:, 0], \"b--\", linewidth=2, label=\"Not Iris virginica\")"
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]
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},
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{
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@ -1125,8 +1125,8 @@
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"plt.plot(X[y==0], y[y==0], \"bs\")\n",
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"plt.plot(X[y==1], y[y==1], \"g^\")\n",
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"plt.plot([decision_boundary, decision_boundary], [-1, 2], \"k:\", linewidth=2)\n",
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"plt.plot(X_new, y_proba[:, 1], \"g-\", linewidth=2, label=\"Iris-Virginica\")\n",
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"plt.plot(X_new, y_proba[:, 0], \"b--\", linewidth=2, label=\"Not Iris-Virginica\")\n",
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"plt.plot(X_new, y_proba[:, 1], \"g-\", linewidth=2, label=\"Iris virginica\")\n",
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"plt.plot(X_new, y_proba[:, 0], \"b--\", linewidth=2, label=\"Not Iris virginica\")\n",
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"plt.text(decision_boundary+0.02, 0.15, \"Decision boundary\", fontsize=14, color=\"k\", ha=\"center\")\n",
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"plt.arrow(decision_boundary, 0.08, -0.3, 0, head_width=0.05, head_length=0.1, fc='b', ec='b')\n",
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"plt.arrow(decision_boundary, 0.92, 0.3, 0, head_width=0.05, head_length=0.1, fc='g', ec='g')\n",
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@ -1191,8 +1191,8 @@
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"\n",
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"plt.clabel(contour, inline=1, fontsize=12)\n",
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"plt.plot(left_right, boundary, \"k--\", linewidth=3)\n",
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"plt.text(3.5, 1.5, \"Not Iris-Virginica\", fontsize=14, color=\"b\", ha=\"center\")\n",
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"plt.text(6.5, 2.3, \"Iris-Virginica\", fontsize=14, color=\"g\", ha=\"center\")\n",
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"plt.text(3.5, 1.5, \"Not Iris virginica\", fontsize=14, color=\"b\", ha=\"center\")\n",
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"plt.text(6.5, 2.3, \"Iris virginica\", fontsize=14, color=\"g\", ha=\"center\")\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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"plt.axis([2.9, 7, 0.8, 2.7])\n",
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@ -1233,9 +1233,9 @@
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"zz = y_predict.reshape(x0.shape)\n",
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"\n",
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"plt.figure(figsize=(10, 4))\n",
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"plt.plot(X[y==2, 0], X[y==2, 1], \"g^\", label=\"Iris-Virginica\")\n",
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"plt.plot(X[y==1, 0], X[y==1, 1], \"bs\", label=\"Iris-Versicolor\")\n",
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"plt.plot(X[y==0, 0], X[y==0, 1], \"yo\", label=\"Iris-Setosa\")\n",
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"plt.plot(X[y==2, 0], X[y==2, 1], \"g^\", label=\"Iris virginica\")\n",
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"plt.plot(X[y==1, 0], X[y==1, 1], \"bs\", label=\"Iris versicolor\")\n",
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"plt.plot(X[y==0, 0], X[y==0, 1], \"yo\", label=\"Iris setosa\")\n",
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"\n",
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"from matplotlib.colors import ListedColormap\n",
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"custom_cmap = ListedColormap(['#fafab0','#9898ff','#a0faa0'])\n",
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@ -1717,9 +1717,9 @@
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"zz = y_predict.reshape(x0.shape)\n",
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"\n",
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"plt.figure(figsize=(10, 4))\n",
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"plt.plot(X[y==2, 0], X[y==2, 1], \"g^\", label=\"Iris-Virginica\")\n",
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"plt.plot(X[y==1, 0], X[y==1, 1], \"bs\", label=\"Iris-Versicolor\")\n",
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"plt.plot(X[y==0, 0], X[y==0, 1], \"yo\", label=\"Iris-Setosa\")\n",
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"plt.plot(X[y==2, 0], X[y==2, 1], \"g^\", label=\"Iris virginica\")\n",
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"plt.plot(X[y==1, 0], X[y==1, 1], \"bs\", label=\"Iris versicolor\")\n",
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"plt.plot(X[y==0, 0], X[y==0, 1], \"yo\", label=\"Iris setosa\")\n",
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"\n",
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"from matplotlib.colors import ListedColormap\n",
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"custom_cmap = ListedColormap(['#fafab0','#9898ff','#a0faa0'])\n",
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@ -139,8 +139,8 @@
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"plt.plot(x0, pred_1, \"g--\", linewidth=2)\n",
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"plt.plot(x0, pred_2, \"m-\", linewidth=2)\n",
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"plt.plot(x0, pred_3, \"r-\", linewidth=2)\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\", label=\"Iris-Versicolor\")\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\", label=\"Iris-Setosa\")\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\", label=\"Iris versicolor\")\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\", label=\"Iris setosa\")\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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"plt.legend(loc=\"upper left\", fontsize=14)\n",
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@ -287,7 +287,7 @@
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"\n",
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"iris = datasets.load_iris()\n",
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"X = iris[\"data\"][:, (2, 3)] # petal length, petal width\n",
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris-Virginica\n",
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris virginica\n",
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"\n",
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"svm_clf = Pipeline([\n",
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" (\"scaler\", StandardScaler()),\n",
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@ -368,8 +368,8 @@
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"source": [
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"plt.figure(figsize=(12,3.2))\n",
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"plt.subplot(121)\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"g^\", label=\"Iris-Virginica\")\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"bs\", label=\"Iris-Versicolor\")\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"g^\", label=\"Iris virginica\")\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"bs\", label=\"Iris versicolor\")\n",
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"plot_svc_decision_boundary(svm_clf1, 4, 6)\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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@ -847,7 +847,7 @@
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"source": [
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"iris = datasets.load_iris()\n",
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"X = iris[\"data\"][:, (2, 3)] # petal length, petal width\n",
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris-Virginica"
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris virginica"
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]
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},
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{
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@ -946,7 +946,7 @@
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"\n",
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"iris = datasets.load_iris()\n",
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"X = iris[\"data\"][:, (2, 3)] # petal length, petal width\n",
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris-Virginica\n",
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"y = (iris[\"target\"] == 2).astype(np.float64) # Iris virginica\n",
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"\n",
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"svm_clf = SVC(kernel=\"linear\", C=1)\n",
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"svm_clf.fit(X, y)\n",
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@ -1043,18 +1043,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Training set\n",
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"X = iris[\"data\"][:, (2, 3)] # petal length, petal width\n",
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"y = (iris[\"target\"] == 2).astype(np.float64).reshape(-1, 1) # Iris-Virginica"
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"y = (iris[\"target\"] == 2).astype(np.float64).reshape(-1, 1) # Iris virginica"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1119,7 +1119,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1129,7 +1129,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1138,7 +1138,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1149,20 +1149,21 @@
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"yr = y.ravel()\n",
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"plt.figure(figsize=(12,3.2))\n",
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"plt.subplot(121)\n",
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"plt.plot(X[:, 0][yr==1], X[:, 1][yr==1], \"g^\", label=\"Iris-Virginica\")\n",
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"plt.plot(X[:, 0][yr==0], X[:, 1][yr==0], \"bs\", label=\"Not Iris-Virginica\")\n",
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"plt.plot(X[:, 0][yr==1], X[:, 1][yr==1], \"g^\", label=\"Iris virginica\")\n",
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"plt.plot(X[:, 0][yr==0], X[:, 1][yr==0], \"bs\", label=\"Not Iris virginica\")\n",
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"plot_svc_decision_boundary(svm_clf, 4, 6)\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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"plt.title(\"MyLinearSVC\", fontsize=14)\n",
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"plt.axis([4, 6, 0.8, 2.8])\n",
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"plt.legend(loc=\"upper left\")\n",
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"\n",
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"plt.subplot(122)\n",
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"plt.plot(X[:, 0][yr==1], X[:, 1][yr==1], \"g^\")\n",
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@ -1328,8 +1329,8 @@
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"plt.plot(line1[:, 0], line1[:, 1], \"k:\", label=\"LinearSVC\")\n",
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"plt.plot(line2[:, 0], line2[:, 1], \"b--\", linewidth=2, label=\"SVC\")\n",
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"plt.plot(line3[:, 0], line3[:, 1], \"r-\", label=\"SGDClassifier\")\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\") # label=\"Iris-Versicolor\"\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\") # label=\"Iris-Setosa\"\n",
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"plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\") # label=\"Iris versicolor\"\n",
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"plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\") # label=\"Iris setosa\"\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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"plt.legend(loc=\"upper center\", fontsize=14)\n",
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@ -136,9 +136,9 @@
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" custom_cmap2 = ListedColormap(['#7d7d58','#4c4c7f','#507d50'])\n",
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" plt.contour(x1, x2, y_pred, cmap=custom_cmap2, alpha=0.8)\n",
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" if plot_training:\n",
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" plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\", label=\"Iris-Setosa\")\n",
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" plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\", label=\"Iris-Versicolor\")\n",
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" plt.plot(X[:, 0][y==2], X[:, 1][y==2], \"g^\", label=\"Iris-Virginica\")\n",
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" plt.plot(X[:, 0][y==0], X[:, 1][y==0], \"yo\", label=\"Iris setosa\")\n",
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" plt.plot(X[:, 0][y==1], X[:, 1][y==1], \"bs\", label=\"Iris versicolor\")\n",
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" plt.plot(X[:, 0][y==2], X[:, 1][y==2], \"g^\", label=\"Iris virginica\")\n",
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" plt.axis(axes)\n",
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" if iris:\n",
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" plt.xlabel(\"Petal length\", fontsize=14)\n",
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@ -201,7 +201,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"X[(X[:, 1]==X[:, 1][y==1].max()) & (y==1)] # widest Iris-Versicolor flower"
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"X[(X[:, 1]==X[:, 1][y==1].max()) & (y==1)] # widest Iris versicolor flower"
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]
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},
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{
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@ -114,9 +114,9 @@
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"plt.figure(figsize=(9, 3.5))\n",
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"\n",
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"plt.subplot(121)\n",
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"plt.plot(X[y==0, 2], X[y==0, 3], \"yo\", label=\"Iris-Setosa\")\n",
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"plt.plot(X[y==1, 2], X[y==1, 3], \"bs\", label=\"Iris-Versicolor\")\n",
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"plt.plot(X[y==2, 2], X[y==2, 3], \"g^\", label=\"Iris-Virginica\")\n",
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"plt.plot(X[y==0, 2], X[y==0, 3], \"yo\", label=\"Iris setosa\")\n",
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"plt.plot(X[y==1, 2], X[y==1, 3], \"bs\", label=\"Iris versicolor\")\n",
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"plt.plot(X[y==2, 2], X[y==2, 3], \"g^\", label=\"Iris virginica\")\n",
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"plt.xlabel(\"Petal length\", fontsize=14)\n",
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"plt.ylabel(\"Petal width\", fontsize=14)\n",
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"plt.legend(fontsize=12)\n",
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