switch wvpy uses to wvu

Author: JohnMount

examples/example_cross_plan.ipynb

@@ -8,9 +8,9 @@
    },
    "outputs": [],
    "source": [
-    "import wvpy.util\n",
+    "import wvu.util\n",
     "\n",
-    "wvpy.util.mk_cross_plan(10, 3)\n"
+    "wvu.util.mk_cross_plan(10, 3)\n"
    ]
   }
  ],

examples/example_cross_plan.py

@@ -1,6 +1,6 @@
 
-import wvpy.util
+import wvu.util
 
-wvpy.util.mk_cross_plan(10, 3)
+wvu.util.mk_cross_plan(10, 3)
 
 

examples/example_graphs.ipynb

@@ -10,7 +10,7 @@
    "source": [
     "import numpy\n",
     "import pandas\n",
-    "import wvpy.util\n"
+    "import wvu.util\n"
    ]
   },
   {
@@ -50,7 +50,7 @@
     "    'y': [False, False, True, True, False]\n",
     "})\n",
     "\n",
-    "wvpy.util.plot_roc(\n",
+    "wvu.util.plot_roc(\n",
     "    prediction=d['x'],\n",
     "    istrue=d['y'],\n",
     "    extra_points=pandas.DataFrame({\n",
@@ -88,7 +88,7 @@
     "    'y': [False, False, True, True, False]\n",
     "})\n",
     "\n",
-    "wvpy.util.dual_density_plot(\n",
+    "wvu.util.dual_density_plot(\n",
     "    probs=d['x'],\n",
     "    istrue=d['y'],\n",
     ")"
@@ -128,7 +128,7 @@
     "    'y': [False, False, True, True, False]\n",
     "})\n",
     "\n",
-    "wvpy.util.dual_hist_plot(\n",
+    "wvu.util.dual_hist_plot(\n",
     "    probs=d['x'],\n",
     "    istrue=d['y'],\n",
     ")"
@@ -148,7 +148,7 @@
     "    'y': [0, 0, 1, 1, 0]\n",
     "})\n",
     "\n",
-    "wvpy.util.gain_curve_plot(\n",
+    "wvu.util.gain_curve_plot(\n",
     "    prediction=d['x'],\n",
     "    outcome=d['y'],\n",
     ")\n"
@@ -181,7 +181,7 @@
     "    'y': [0, 0, 1, 1, 0]\n",
     "})\n",
     "\n",
-    "wvpy.util.lift_curve_plot(\n",
+    "wvu.util.lift_curve_plot(\n",
     "    prediction=d['x'],\n",
     "    outcome=d['y'],\n",
     ")"
@@ -227,7 +227,7 @@
     "    'y': [False, False, True, True, False]\n",
     "})\n",
     "\n",
-    "wvpy.util.threshold_plot(\n",
+    "wvu.util.threshold_plot(\n",
     "    d,\n",
     "    pred_var='x',\n",
     "    truth_var='y',\n",
@@ -262,7 +262,7 @@
     "    'y': [False, False, True, True, False]\n",
     "})\n",
     "\n",
-    "wvpy.util.threshold_plot(\n",
+    "wvu.util.threshold_plot(\n",
     "    d,\n",
     "    pred_var='x',\n",
     "    truth_var='y',\n",
@@ -299,7 +299,7 @@
     "d['x0'] = 1 - d['x']\n",
     "pmat = numpy.asarray(d.loc[:, ['x0', 'x']])\n",
     "\n",
-    "wvpy.util.dual_density_plot_proba1(\n",
+    "wvu.util.dual_density_plot_proba1(\n",
     "    probs=pmat,\n",
     "    istrue=d['y'],\n",
     ")"
@@ -341,7 +341,7 @@
     "d['x0'] = 1 - d['x']\n",
     "pmat = numpy.asarray(d.loc[:, ['x0', 'x']])\n",
     "\n",
-    "wvpy.util.dual_hist_plot_proba1(\n",
+    "wvu.util.dual_hist_plot_proba1(\n",
     "    probs=pmat,\n",
     "    istrue=d['y'],\n",
     ")"

examples/graph.ipynb

@@ -18,9 +18,9 @@
    ],
    "source": [
     "import pandas\n",
-    "import wvpy.util\n",
+    "import wvu.util\n",
     "\n",
-    "wvpy.__version__"
+    "wvu.__version__"
    ]
   },
   {
@@ -68,7 +68,7 @@
     }
    ],
    "source": [
-    "wvpy.util.threshold_plot(\n",
+    "wvu.util.threshold_plot(\n",
     "    d,\n",
     "    pred_var='x',\n",
     "    truth_var='y',\n",
@@ -98,7 +98,7 @@
     }
    ],
    "source": [
-    "wvpy.util.threshold_plot(\n",
+    "wvu.util.threshold_plot(\n",
     "    d,\n",
     "    pred_var='x',\n",
     "    truth_var='y',\n",
@@ -128,7 +128,7 @@
     }
    ],
    "source": [
-    "wvpy.util.threshold_plot(\n",
+    "wvu.util.threshold_plot(\n",
     "    d,\n",
     "    pred_var='x',\n",
     "    truth_var='y',\n",
@@ -160,7 +160,7 @@
    ],
    "source": [
     "try:\n",
-    "    wvpy.util.threshold_plot(\n",
+    "    wvu.util.threshold_plot(\n",
     "        d,\n",
     "        pred_var='x',\n",
     "        truth_var='y',\n",

examples/stats.ipynb

@@ -24,9 +24,9 @@
    ],
    "source": [
     "import pandas\n",
-    "import wvpy.util\n",
+    "import wvu.util\n",
     "\n",
-    "wvpy.__version__"
+    "wvu.__version__"
    ],
    "metadata": {
     "collapsed": false,
@@ -79,7 +79,7 @@
     }
    ],
    "source": [
-    "stats = wvpy.util.threshold_statistics(\n",
+    "stats = wvu.util.threshold_statistics(\n",
     "    d,\n",
     "    model_predictions='x',\n",
     "    yvalues='y',\n",