diff --git a/docs/_docs/diagnostics.md b/docs/_docs/diagnostics.md
index e76c0f1e3..9df3d1d88 100644
--- a/docs/_docs/diagnostics.md
+++ b/docs/_docs/diagnostics.md
@@ -86,45 +86,45 @@ df_cv.head()
+
+
+
+
+
+ horizon
+ mase
+
+
+
+
+ 0
+ 37 days
+ 0.522946
+
+
+ 1
+ 38 days
+ 0.528102
+
+
+ 2
+ 39 days
+ 0.534401
+
+
+ 3
+ 40 days
+ 0.537365
+
+
+ 4
+ 41 days
+ 0.538372
@@ -271,7 +371,7 @@ from prophet.plot import plot_cross_validation_metric
fig = plot_cross_validation_metric(df_cv, metric='mape')
```
-![png](/prophet/static/diagnostics_files/diagnostics_17_0.png)
+![png](/prophet/static/diagnostics_files/diagnostics_18_0.png)
The size of the rolling window in the figure can be changed with the optional argument `rolling_window`, which specifies the proportion of forecasts to use in each rolling window. The default is 0.1, corresponding to 10% of rows from `df_cv` included in each window; increasing this will lead to a smoother average curve in the figure. The `initial` period should be long enough to capture all of the components of the model, in particular seasonalities and extra regressors: at least a year for yearly seasonality, at least a week for weekly seasonality, etc.
@@ -355,33 +455,33 @@ for params in all_params:
tuning_results = pd.DataFrame(all_params)
tuning_results['rmse'] = rmses
print(tuning_results)
-```
- changepoint_prior_scale seasonality_prior_scale rmse
- 0 0.001 0.01 0.757694
- 1 0.001 0.10 0.743399
- 2 0.001 1.00 0.753387
- 3 0.001 10.00 0.762890
- 4 0.010 0.01 0.542315
- 5 0.010 0.10 0.535546
- 6 0.010 1.00 0.527008
- 7 0.010 10.00 0.541544
- 8 0.100 0.01 0.524835
- 9 0.100 0.10 0.516061
- 10 0.100 1.00 0.521406
- 11 0.100 10.00 0.518580
- 12 0.500 0.01 0.532140
- 13 0.500 0.10 0.524668
- 14 0.500 1.00 0.521130
- 15 0.500 10.00 0.522980
-
+```
+
+ changepoint_prior_scale seasonality_prior_scale rmse
+ 0 0.001 0.01 0.757694
+ 1 0.001 0.10 0.743399
+ 2 0.001 1.00 0.753387
+ 3 0.001 10.00 0.762890
+ 4 0.010 0.01 0.542315
+ 5 0.010 0.10 0.535546
+ 6 0.010 1.00 0.527008
+ 7 0.010 10.00 0.541544
+ 8 0.100 0.01 0.524835
+ 9 0.100 0.10 0.516061
+ 10 0.100 1.00 0.521406
+ 11 0.100 10.00 0.518580
+ 12 0.500 0.01 0.532140
+ 13 0.500 0.10 0.524668
+ 14 0.500 1.00 0.521130
+ 15 0.500 10.00 0.522980
```python
# Python
best_params = all_params[np.argmin(rmses)]
print(best_params)
```
- {'changepoint_prior_scale': 0.1, 'seasonality_prior_scale': 0.1}
+ {'changepoint_prior_scale': 0.1, 'seasonality_prior_scale': 0.1}
Alternatively, parallelization could be done across parameter combinations by parallelizing the loop above.
diff --git a/docs/static/diagnostics_files/diagnostics_16_0.png b/docs/static/diagnostics_files/diagnostics_16_0.png
deleted file mode 100644
index 1da7fde97..000000000
Binary files a/docs/static/diagnostics_files/diagnostics_16_0.png and /dev/null differ
diff --git a/docs/static/diagnostics_files/diagnostics_17_0.png b/docs/static/diagnostics_files/diagnostics_17_0.png
index fcc454056..2d466ca9d 100644
Binary files a/docs/static/diagnostics_files/diagnostics_17_0.png and b/docs/static/diagnostics_files/diagnostics_17_0.png differ
diff --git a/docs/static/diagnostics_files/diagnostics_18_0.png b/docs/static/diagnostics_files/diagnostics_18_0.png
new file mode 100644
index 000000000..2496ac82a
Binary files /dev/null and b/docs/static/diagnostics_files/diagnostics_18_0.png differ
diff --git a/docs/static/diagnostics_files/diagnostics_4_0.png b/docs/static/diagnostics_files/diagnostics_4_0.png
index bd434dfcd..e827f7fb3 100644
Binary files a/docs/static/diagnostics_files/diagnostics_4_0.png and b/docs/static/diagnostics_files/diagnostics_4_0.png differ
diff --git a/notebooks/diagnostics.ipynb b/notebooks/diagnostics.ipynb
index 93b41a0fd..eb499b184 100644
--- a/notebooks/diagnostics.ipynb
+++ b/notebooks/diagnostics.ipynb
@@ -23,7 +23,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 7,
"metadata": {
"block_hidden": true
},
@@ -32,28 +32,34 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n"
+ "19:38:36 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:38:36 - cmdstanpy - INFO - Chain [1] done processing\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "8395cd1a302349a6b766e256fff7aa02",
+ "model_id": "35e541741f9c4809af8a301e3ae44e7b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))"
+ " 0%| | 0/3 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "\n"
+ "19:38:37 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:38:37 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:38:37 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:38:37 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:38:38 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:38:38 - cmdstanpy - INFO - Chain [1] done processing\n"
]
}
],
@@ -72,22 +78,19 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 8,
"metadata": {
"block_hidden": true
},
"outputs": [
{
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "R[write to console]: Loading required package: Rcpp\n",
- "\n",
- "R[write to console]: Loading required package: rlang\n",
- "\n",
- "R[write to console]: Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.\n",
- "\n"
- ]
+ "data": {
+ "text/plain": [
+ "Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
}
],
"source": [
@@ -109,16 +112,16 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 9,
"metadata": {
"input_hidden": true
},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "
"
+ ""
]
},
"metadata": {},
@@ -161,31 +164,32 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 10,
"metadata": {
"output_hidden": true
},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "R[write to console]: Making 11 forecasts with cutoffs between 2010-02-15 and 2015-01-20\n",
- "\n"
- ]
- },
{
"name": "stdout",
"output_type": "stream",
"text": [
" y ds yhat yhat_lower yhat_upper cutoff\n",
- "1 8.242493 2010-02-16 8.956252 8.451796 9.483227 2010-02-15\n",
- "2 8.008033 2010-02-17 8.722669 8.206799 9.174078 2010-02-15\n",
- "3 8.045268 2010-02-18 8.606339 8.136408 9.059811 2010-02-15\n",
- "4 7.928766 2010-02-19 8.528198 8.044159 9.012228 2010-02-15\n",
- "5 7.745003 2010-02-20 8.270095 7.787403 8.780680 2010-02-15\n",
- "6 7.866339 2010-02-21 8.601325 8.051539 9.112439 2010-02-15\n"
+ "1 8.242493 2010-02-16 8.958128 8.498452 9.455592 2010-02-15\n",
+ "2 8.008033 2010-02-17 8.724605 8.226165 9.226773 2010-02-15\n",
+ "3 8.045268 2010-02-18 8.608332 8.079648 9.108332 2010-02-15\n",
+ "4 7.928766 2010-02-19 8.530238 8.038721 9.024928 2010-02-15\n",
+ "5 7.745003 2010-02-20 8.272207 7.761112 8.778963 2010-02-15\n",
+ "6 7.866339 2010-02-21 8.603539 8.127878 9.087186 2010-02-15\n"
]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "Making 11 forecasts with cutoffs between 2010-02-15 and 2015-01-20\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
}
],
"source": [
@@ -196,7 +200,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 11,
"metadata": {
"output_hidden": true
},
@@ -204,22 +208,43 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "f4355ae2480f4f7cb37c613c84427237",
+ "model_id": "5adcf2eb7cd94e14a4ba3d84d414f595",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=11.0), HTML(value='')))"
+ " 0%| | 0/11 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "\n"
+ "19:39:04 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:04 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:04 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:04 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:04 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:05 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:05 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:05 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:05 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:05 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:06 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:06 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:06 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:06 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:06 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:07 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:07 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:07 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:08 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:08 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:08 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:09 - cmdstanpy - INFO - Chain [1] done processing\n"
]
}
],
@@ -230,7 +255,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -266,45 +291,45 @@
" \n",
" 0 \n",
" 2010-02-16 \n",
- " 8.959678 \n",
- " 8.470035 \n",
- " 9.451618 \n",
+ " 8.954582 \n",
+ " 8.462876 \n",
+ " 9.452305 \n",
" 8.242493 \n",
" 2010-02-15 \n",
" \n",
" \n",
" 1 \n",
" 2010-02-17 \n",
- " 8.726195 \n",
- " 8.236734 \n",
- " 9.219616 \n",
+ " 8.720932 \n",
+ " 8.222682 \n",
+ " 9.242788 \n",
" 8.008033 \n",
" 2010-02-15 \n",
" \n",
" \n",
" 2 \n",
" 2010-02-18 \n",
- " 8.610011 \n",
- " 8.104834 \n",
- " 9.125484 \n",
+ " 8.604608 \n",
+ " 8.066920 \n",
+ " 9.144968 \n",
" 8.045268 \n",
" 2010-02-15 \n",
" \n",
" \n",
" 3 \n",
" 2010-02-19 \n",
- " 8.532004 \n",
- " 7.985031 \n",
- " 9.041575 \n",
+ " 8.526379 \n",
+ " 8.029189 \n",
+ " 9.043045 \n",
" 7.928766 \n",
" 2010-02-15 \n",
" \n",
" \n",
" 4 \n",
" 2010-02-20 \n",
- " 8.274090 \n",
- " 7.779034 \n",
- " 8.745627 \n",
+ " 8.268247 \n",
+ " 7.749520 \n",
+ " 8.741847 \n",
" 7.745003 \n",
" 2010-02-15 \n",
" \n",
@@ -314,14 +339,14 @@
],
"text/plain": [
" ds yhat yhat_lower yhat_upper y cutoff\n",
- "0 2010-02-16 8.959678 8.470035 9.451618 8.242493 2010-02-15\n",
- "1 2010-02-17 8.726195 8.236734 9.219616 8.008033 2010-02-15\n",
- "2 2010-02-18 8.610011 8.104834 9.125484 8.045268 2010-02-15\n",
- "3 2010-02-19 8.532004 7.985031 9.041575 7.928766 2010-02-15\n",
- "4 2010-02-20 8.274090 7.779034 8.745627 7.745003 2010-02-15"
+ "0 2010-02-16 8.954582 8.462876 9.452305 8.242493 2010-02-15\n",
+ "1 2010-02-17 8.720932 8.222682 9.242788 8.008033 2010-02-15\n",
+ "2 2010-02-18 8.604608 8.066920 9.144968 8.045268 2010-02-15\n",
+ "3 2010-02-19 8.526379 8.029189 9.043045 7.928766 2010-02-15\n",
+ "4 2010-02-20 8.268247 7.749520 8.741847 7.745003 2010-02-15"
]
},
- "execution_count": 5,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -341,7 +366,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -352,7 +377,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 14,
"metadata": {
"output_hidden": true
},
@@ -360,22 +385,27 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "bd72143956e3426abd28c01b3a0b75b0",
+ "model_id": "49bd5a3e78c04c848a47966f18a69fbf",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "HBox(children=(FloatProgress(value=0.0, max=3.0), HTML(value='')))"
+ " 0%| | 0/3 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "\n"
+ "19:39:15 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:15 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:15 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:15 - cmdstanpy - INFO - Chain [1] done processing\n",
+ "19:39:16 - cmdstanpy - INFO - Chain [1] start processing\n",
+ "19:39:16 - cmdstanpy - INFO - Chain [1] done processing\n"
]
}
],
@@ -388,12 +418,19 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "The `performance_metrics` utility can be used to compute some useful statistics of the prediction performance (`yhat`, `yhat_lower`, and `yhat_upper` compared to `y`), as a function of the distance from the cutoff (how far into the future the prediction was). The statistics computed are mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), median absolute percent error (MDAPE) and coverage of the `yhat_lower` and `yhat_upper` estimates. These are computed on a rolling window of the predictions in `df_cv` after sorting by horizon (`ds` minus `cutoff`). By default 10% of the predictions will be included in each window, but this can be changed with the `rolling_window` argument."
+ "The `performance_metrics` utility can be used to compute some useful statistics of the prediction performance (`yhat`, `yhat_lower`, and `yhat_upper` compared to `y`), as a function of the distance from the cutoff (how far into the future the prediction was). The statistics computed are mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), median absolute percent error (MDAPE) and coverage of the `yhat_lower` and `yhat_upper` estimates. These are computed on a rolling window of the predictions in `df_cv` after sorting by horizon (`ds` minus `cutoff`). By default 10% of the predictions will be included in each window, but this can be changed with the `rolling_window` argument.\n",
+ "\n",
+ "In Python, you can also create custom performance metric using the `register_performance_metric` decorator. Created metric should contain following arguments:\n",
+ " - df: Cross-validation results dataframe.\n",
+ " - w: Aggregation window size.\n",
+ " \n",
+ "and return:\n",
+ "- Dataframe with columns horizon and metric."
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 15,
"metadata": {
"output_hidden": true
},
@@ -403,19 +440,19 @@
"output_type": "stream",
"text": [
" horizon mse rmse mae mape mdape smape\n",
- "1 37 days 0.4945480 0.7032411 0.5055601 0.05858532 0.04934318 0.05887239\n",
- "2 38 days 0.5002964 0.7073163 0.5105297 0.05916131 0.04959087 0.05950813\n",
- "3 39 days 0.5225149 0.7228519 0.5166123 0.05975950 0.04934318 0.06023204\n",
- "4 40 days 0.5297905 0.7278671 0.5194979 0.06006795 0.04934318 0.06061026\n",
- "5 41 days 0.5372450 0.7329700 0.5204945 0.06014704 0.04923865 0.06075311\n",
- "6 42 days 0.5410136 0.7355363 0.5208659 0.06016509 0.04934318 0.06082444\n",
+ "1 37 days 0.4939037 0.7027828 0.5048970 0.05850212 0.04980376 0.05879513\n",
+ "2 38 days 0.4997148 0.7069051 0.5098831 0.05907908 0.05004985 0.05943198\n",
+ "3 39 days 0.5218764 0.7224101 0.5159664 0.05967708 0.04980376 0.06015530\n",
+ "4 40 days 0.5290861 0.7273830 0.5188235 0.05998232 0.04980376 0.06052964\n",
+ "5 41 days 0.5364765 0.7324455 0.5198071 0.06006024 0.04934500 0.06067036\n",
+ "6 42 days 0.5402054 0.7349866 0.5201720 0.06007814 0.04980376 0.06074102\n",
" coverage\n",
- "1 0.6815898\n",
- "2 0.6804477\n",
- "3 0.6777067\n",
- "4 0.6838739\n",
- "5 0.6914116\n",
- "6 0.6930105\n"
+ "1 0.6765646\n",
+ "2 0.6754226\n",
+ "3 0.6726816\n",
+ "4 0.6713111\n",
+ "5 0.6788488\n",
+ "6 0.6841023\n"
]
}
],
@@ -427,7 +464,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
@@ -465,79 +502,79 @@
" \n",
" 0 \n",
" 37 days \n",
- " 0.493764 \n",
- " 0.702683 \n",
- " 0.504754 \n",
- " 0.058485 \n",
- " 0.049922 \n",
- " 0.058774 \n",
- " 0.674052 \n",
+ " 0.493358 \n",
+ " 0.702395 \n",
+ " 0.503977 \n",
+ " 0.058376 \n",
+ " 0.049365 \n",
+ " 0.058677 \n",
+ " 0.676565 \n",
" \n",
" \n",
" 1 \n",
" 38 days \n",
- " 0.499522 \n",
- " 0.706769 \n",
- " 0.509723 \n",
- " 0.059060 \n",
- " 0.049389 \n",
- " 0.059409 \n",
- " 0.672910 \n",
+ " 0.499112 \n",
+ " 0.706478 \n",
+ " 0.508946 \n",
+ " 0.058951 \n",
+ " 0.049135 \n",
+ " 0.059312 \n",
+ " 0.675423 \n",
" \n",
" \n",
" 2 \n",
" 39 days \n",
- " 0.521614 \n",
- " 0.722229 \n",
- " 0.515793 \n",
- " 0.059657 \n",
- " 0.049540 \n",
- " 0.060131 \n",
- " 0.670169 \n",
+ " 0.521344 \n",
+ " 0.722042 \n",
+ " 0.515016 \n",
+ " 0.059547 \n",
+ " 0.049225 \n",
+ " 0.060034 \n",
+ " 0.672682 \n",
" \n",
" \n",
" 3 \n",
" 40 days \n",
- " 0.528760 \n",
- " 0.727159 \n",
- " 0.518634 \n",
- " 0.059961 \n",
- " 0.049232 \n",
- " 0.060504 \n",
- " 0.671311 \n",
+ " 0.528651 \n",
+ " 0.727084 \n",
+ " 0.517873 \n",
+ " 0.059852 \n",
+ " 0.049072 \n",
+ " 0.060409 \n",
+ " 0.676336 \n",
" \n",
" \n",
" 4 \n",
" 41 days \n",
- " 0.536078 \n",
- " 0.732174 \n",
- " 0.519585 \n",
- " 0.060036 \n",
- " 0.049389 \n",
- " 0.060641 \n",
- " 0.678849 \n",
+ " 0.536149 \n",
+ " 0.732222 \n",
+ " 0.518843 \n",
+ " 0.059927 \n",
+ " 0.049135 \n",
+ " 0.060548 \n",
+ " 0.681361 \n",
" \n",
" \n",
"\n",
" "
],
"text/plain": [
- " horizon mse rmse mae mape mdape smape \\\n",
- "0 37 days 0.493764 0.702683 0.504754 0.058485 0.049922 0.058774 \n",
- "1 38 days 0.499522 0.706769 0.509723 0.059060 0.049389 0.059409 \n",
- "2 39 days 0.521614 0.722229 0.515793 0.059657 0.049540 0.060131 \n",
- "3 40 days 0.528760 0.727159 0.518634 0.059961 0.049232 0.060504 \n",
- "4 41 days 0.536078 0.732174 0.519585 0.060036 0.049389 0.060641 \n",
+ " horizon mse rmse mae mape mdape smape \n",
+ "0 37 days 0.493358 0.702395 0.503977 0.058376 0.049365 0.058677 \\\n",
+ "1 38 days 0.499112 0.706478 0.508946 0.058951 0.049135 0.059312 \n",
+ "2 39 days 0.521344 0.722042 0.515016 0.059547 0.049225 0.060034 \n",
+ "3 40 days 0.528651 0.727084 0.517873 0.059852 0.049072 0.060409 \n",
+ "4 41 days 0.536149 0.732222 0.518843 0.059927 0.049135 0.060548 \n",
"\n",
" coverage \n",
- "0 0.674052 \n",
- "1 0.672910 \n",
- "2 0.670169 \n",
- "3 0.671311 \n",
- "4 0.678849 "
+ "0 0.676565 \n",
+ "1 0.675423 \n",
+ "2 0.672682 \n",
+ "3 0.676336 \n",
+ "4 0.681361 "
]
},
- "execution_count": 7,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -548,6 +585,109 @@
"df_p.head()"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "