Merge branch 'whylabs:mainline' into prof-viz-nb-fixes

whylabs · Mar 23, 2022 · 726c9b0 · 726c9b0
2 parents 26c925a + 90a1dab
commit 726c9b0
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diff --git a/README.md b/README.md
@@ -19,9 +19,6 @@
 <a href="https://github.com/python/black" target="_blank">
     <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code style: black">
 </a>
-<a href="https://bestpractices.coreinfrastructure.org/projects/4490" target="_blank">
-    <img src="https://bestpractices.coreinfrastructure.org/projects/4490/badge" alt="CI Best Practices">
-</a>
 <a href="https://pepy.tech/project/whylogs" target="_blank">
     <img src="https://pepy.tech/badge/whylogs" alt="PyPi Downloads">
 </a>

diff --git a/examples/performance-metrics/Performance Metrics-Regression.ipynb b/examples/performance-metrics/Performance Metrics-Regression.ipynb
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -235,7 +235,7 @@
        "8155  33.335        79    12.9980       0           4      4  "
       ]
      },
-     "execution_count": 2,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -260,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -318,7 +318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -350,14 +350,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.33426422991287585\n"
+      "0.33934000785461543\n"
      ]
     }
    ],
@@ -406,7 +406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -465,7 +465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -489,13 +489,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Enter your Dataset ID\n",
       "logging input/output features for day 0....\n",
       "logging input/output features for day 1....\n",
       "logging input/output features for day 2....\n",
@@ -504,6 +505,13 @@
       "logging input/output features for day 5....\n",
       "logging input/output features for day 6....\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using API key ID: xxtIbfnVKB\n"
+     ]
     }
    ],
    "source": [
@@ -518,9 +526,9 @@
     "now = datetime.datetime.now()\n",
     "for day in range(0, 7):\n",
     "    timestamp = now - timedelta(days=6) + timedelta(days=day)\n",
-    "    #First day to log was 11 Feb, but we're logging as if it were 7 days ago. Adding 11 as offset\n",
-    "    original_date = 11 + day\n",
-    "    cond = (features_df['date'].dt.day==original_date) & (features_df['date'].dt.month==2)\n",
+    "    #First day to log was 1 July, but we're logging as if it were 7 days ago. Adding 1 as offset\n",
+    "    original_date = 1 + day\n",
+    "    cond = (features_df['date'].dt.day==original_date) & (features_df['date'].dt.month==7)\n",
     "    daily_features = features_df.loc[cond]\n",
     "    # We don't need date anymore\n",
     "    daily_features = daily_features.drop(['date'],axis=1)\n",
@@ -556,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -568,17 +576,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "cond = (df_metrics['date'].dt.day>=11) & (df_metrics['date'].dt.month==2) & (df_metrics['date'].dt.day<18)\n",
+    "cond = (df_metrics['date'].dt.day>=1) & (df_metrics['date'].dt.month==7) & (df_metrics['date'].dt.day<8)\n",
     "df_metrics = df_metrics.loc[cond]\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -588,9 +596,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Enter your Dataset ID\n"
+     ]
+    }
+   ],
    "source": [
     "# Run whylogs on historical data and upload to WhyLabs.\n",
     "# Stick to data from the prior seven days for now.\n",
@@ -601,8 +617,8 @@
     "\n",
     "for day in range(0, 7):\n",
     "    timestamp = now - timedelta(days=6) + timedelta(days=day)\n",
-    "    original_date = 11 + day\n",
-    "    cond = (df_metrics['date'].dt.day==original_date) & (df_metrics['date'].dt.month==2)\n",
+    "    original_date = 1 + day\n",
+    "    cond = (df_metrics['date'].dt.day==original_date) & (df_metrics['date'].dt.month==7)\n",
     "    daily_metrics = df_metrics.loc[cond]\n",
     "    # We don't need date anymore\n",
     "    daily_metrics = daily_metrics.drop(['date'],axis=1)\n",
@@ -619,7 +635,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [