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‎docs/examples/batch-to-online.ipynb

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‎docs/examples/bike-sharing-forecasting.ipynb

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‎docs/examples/building-a-simple-nowcasting-model.ipynb

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‎docs/examples/content-personalization.ipynb

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‎docs/examples/debugging-a-pipeline.ipynb

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"execution_count": 1,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-01-29T19:27:12.328598Z",
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"iopub.status.busy": "2023-01-29T19:27:12.328456Z",
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"iopub.execute_input": "2023-09-02T00:49:30.394238Z",
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"iopub.status.idle": "2023-09-02T00:49:41.362597Z",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"30000 MAE: 2.220942\n",
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"60000 MAE: 2.270271\n",
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"90000 MAE: 2.301302\n",
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"120000 MAE: 2.275876\n",
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"150000 MAE: 2.275224\n",
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"180000 MAE: 2.289347\n"
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"30000 MAE: 13.328051\n",
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"60000 MAE: 7.824087\n",
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"90000 MAE: 6.003909\n",
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"120000 MAE: 5.052855\n",
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"150000 MAE: 4.496826\n",
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"180000 MAE: 4.140702\n"
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]
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"execution_count": 2,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-01-29T19:27:21.538389Z",
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"iopub.execute_input": "2023-09-02T00:49:41.364443Z",
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"iopub.status.idle": "2023-09-02T00:49:41.386868Z",
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" 'day': x['moment'].weekday()\n",
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" }\n",
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"\n",
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"</code></details><div class=\"river-component river-union\"><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">['clouds', 'humidity', 'pressure', 'temperature', 'wind']</pre></summary><code class=\"river-estimator-params\">(\n",
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"</code></details><div class=\"river-component river-union\"><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">['clouds', [...]</pre></summary><code class=\"river-estimator-params\">Select (\n",
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" clouds\n",
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" humidity\n",
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" pressure\n",
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" temperature\n",
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" wind\n",
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")\n",
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"\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">y_mean_by_station_and_hour</pre></summary><code class=\"river-estimator-params\">(\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">y_mean_by_station_and_hour</pre></summary><code class=\"river-estimator-params\">TargetAgg (\n",
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" by=['station', 'hour']\n",
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" how=Mean ()\n",
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" target_name=\"y\"\n",
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")\n",
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"\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">y_ewm_0.5_by_station</pre></summary><code class=\"river-estimator-params\">(\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">y_ewm_0.5_by_station</pre></summary><code class=\"river-estimator-params\">TargetAgg (\n",
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" by=['station']\n",
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" how=EWMean (\n",
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" fading_factor=0.5\n",
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" )\n",
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" target_name=\"y\"\n",
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")\n",
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"\n",
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"</code></details></div><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">StandardScaler</pre></summary><code class=\"river-estimator-params\">(\n",
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"</code></details></div><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">StandardScaler</pre></summary><code class=\"river-estimator-params\">StandardScaler (\n",
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" with_std=True\n",
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")\n",
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"\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">LinearRegression</pre></summary><code class=\"river-estimator-params\">(\n",
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"</code></details><details class=\"river-component river-estimator\"><summary class=\"river-summary\"><pre class=\"river-estimator-name\">LinearRegression</pre></summary><code class=\"river-estimator-params\">LinearRegression (\n",
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" optimizer=SGD (\n",
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" lr=Constant (\n",
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" learning_rate=0.01\n",
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" clip_gradient=1e+12\n",
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" initializer=Zeros ()\n",
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")\n",
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"\n",
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"</code></details></div><style scoped>\n",
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".river-estimator {\n",
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" padding: 1em;\n",
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" border-style: solid;\n",
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" background: white;\n",
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" max-width: max-content;\n",
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"}\n",
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"\n",
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".river-pipeline {\n",
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" display: flex;\n",
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" flex-direction: column;\n",
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" align-items: center;\n",
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" background: linear-gradient(#000, #000) no-repeat center / 3px 100%;\n",
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" background: linear-gradient(#000, #000) no-repeat center / 1.5px 100%;\n",
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"}\n",
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"\n",
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".river-union {\n",
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" margin-top: 0;\n",
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".river-union > .river-component {\n",
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" margin-top: 0;\n",
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"}\n",
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"\n",
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".river-union > .pipeline {\n",
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"}\n",
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".river-estimator-params {\n",
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" display: block;\n",
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" white-space: pre-wrap;\n",
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" font-size: 120%;\n",
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" margin-bottom: -1em;\n",
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" font-size: 110%;\n",
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" margin-top: 1em;\n",
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"}\n",
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"\n",
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".river-estimator > .river-estimator-params,\n",
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".river-wrapper > .river-details > river-estimator-params {\n",
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" background-color: white !important;\n",
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"}\n",
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"\n",
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".river-wrapper > .river-details {\n",
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" margin-bottom: 1em;\n",
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"}\n",
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"\n",
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".river-estimator-name {\n",
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" display: inline;\n",
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" margin: 0;\n",
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" font-size: 130%;\n",
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" font-size: 110%;\n",
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"}\n",
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"\n",
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"/* Toggle */\n",
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" width: 100%;\n",
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"}\n",
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"</style></div>"
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],
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"text/plain": [
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"Pipeline (\n",
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" FuncTransformer (\n",
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" func=\"add_time_features\"\n",
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" ),\n",
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" TransformerUnion (\n",
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" Select (\n",
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" clouds\n",
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" humidity\n",
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" pressure\n",
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" temperature\n",
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" wind\n",
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" ),\n",
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" TargetAgg (\n",
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" by=['station', 'hour']\n",
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" how=Mean ()\n",
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" target_name=\"y\"\n",
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" ),\n",
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" TargetAgg (\n",
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" by=['station']\n",
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" how=EWMean (\n",
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" fading_factor=0.5\n",
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" )\n",
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" target_name=\"y\"\n",
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" )\n",
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" ),\n",
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" StandardScaler (\n",
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" with_std=True\n",
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" ),\n",
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" LinearRegression (\n",
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" optimizer=SGD (\n",
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" lr=Constant (\n",
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" learning_rate=0.01\n",
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" )\n",
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" )\n",
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" loss=Squared ()\n",
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" l2=0.\n",
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" l1=0.\n",
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" intercept_init=0.\n",
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" intercept_lr=Constant (\n",
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" learning_rate=0.01\n",
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" )\n",
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" clip_gradient=1e+12\n",
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" initializer=Zeros ()\n",
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" )\n",
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")"
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]
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},
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"execution_count": 2,
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"execution_count": 3,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-01-29T19:27:21.558294Z",
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"iopub.status.busy": "2023-01-29T19:27:21.558145Z",
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"iopub.status.idle": "2023-01-29T19:27:21.571901Z",
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"shell.execute_reply": "2023-01-29T19:27:21.571426Z"
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"iopub.execute_input": "2023-09-02T00:49:41.388613Z",
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"iopub.status.busy": "2023-09-02T00:49:41.388503Z",
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"iopub.status.idle": "2023-09-02T00:49:41.403489Z",
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"shell.execute_reply": "2023-09-02T00:49:41.403226Z"
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},
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"tags": []
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},
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"pressure: 0.04916 (float)\n",
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"temperature: -0.51938 (float)\n",
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"wind: -0.69426 (float)\n",
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"y_ewm_0.5_by_station: 0.19214 (float)\n",
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"y_mean_by_station_and_hour: -0.26013 (float)\n",
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"y_ewm_0.5_by_station: 0.19640 (float)\n",
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"y_mean_by_station_and_hour: -0.27110 (float)\n",
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"\n",
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"4. LinearRegression\n",
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"-------------------\n",
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"Name Value Weight Contribution \n",
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" Intercept 1.00000 9.22316 9.22316 \n",
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" y_ewm_0.5_by_station 0.19214 9.26418 1.78000 \n",
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" humidity 1.16366 1.01252 1.17823 \n",
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" temperature -0.51938 -0.42112 0.21872 \n",
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" wind -0.69426 -0.04088 0.02838 \n",
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" pressure 0.04916 0.18137 0.00892 \n",
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"y_mean_by_station_and_hour -0.26013 0.19801 -0.05151 \n",
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" clouds 1.54778 -0.32697 -0.50608 \n",
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"Name Value Weight Contribution \n",
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"Intercept 1.00000 9.19960 9.19960 \n",
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"y_ewm_0.5_by_station 0.19640 9.19349 1.80562 \n",
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"humidity 1.16366 1.01680 1.18320 \n",
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"temperature -0.51938 -0.41575 0.21593 \n",
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" wind -0.69426 -0.03810 0.02645 \n",
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"pressure 0.04916 0.18321 0.00901 \n",
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"y_mean_by_station_and_hour -0.27110 0.19553 -0.05301 \n",
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" clouds 1.54778 -0.32838 -0.50827 \n",
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"\n",
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"Prediction: 11.87982\n"
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"Prediction: 11.87854\n"
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.0"
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"version": "3.10.8"
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}
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},
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"nbformat": 4,

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