"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "notebooks/diagnostics.ipynb" between
prophet-1.0.tar.gz and prophet-1.1.tar.gz

About: Prophet is a tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

diagnostics.ipynb  (prophet-1.0):diagnostics.ipynb  (prophet-1.1)
skipping to change at line 117 skipping to change at line 117
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 3,
"metadata": { "metadata": {
"input_hidden": true "input_hidden": true
}, },
"outputs": [ "outputs": [
{ {
"data": { "data": {
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"text/plain": [ "text/plain": [
"<Figure size 720x432 with 1 Axes>" "<Figure size 720x432 with 1 Axes>"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"fig = plt.figure(facecolor='w', figsize=(10, 6))\n", "fig = plt.figure(facecolor='w', figsize=(10, 6))\n",
skipping to change at line 565 skipping to change at line 565
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": 7,
"metadata": { "metadata": {
"output_hidden": true "output_hidden": true
}, },
"outputs": [ "outputs": [
{ {
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}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"%%R -w 10 -h 6 -u in\n", "%%R -w 10 -h 6 -u in\n",
"plot_cross_validation_metric(df.cv, metric = 'mape')" "plot_cross_validation_metric(df.cv, metric = 'mape')"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
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"text/plain": [ "text/plain": [
"<Figure size 720x432 with 1 Axes>" "<Figure size 720x432 with 1 Axes>"
] ]
}, },
"metadata": {}, "metadata": {},
"output_type": "display_data" "output_type": "display_data"
} }
], ],
"source": [ "source": [
"from prophet.plot import plot_cross_validation_metric\n", "from prophet.plot import plot_cross_validation_metric\n",
skipping to change at line 751 skipping to change at line 751
"- `weekly_seasonality`: Same as for `yearly_seasonality`.\n", "- `weekly_seasonality`: Same as for `yearly_seasonality`.\n",
"\n", "\n",
"- `daily_seasonality`: Same as for `yearly_seasonality`.\n", "- `daily_seasonality`: Same as for `yearly_seasonality`.\n",
"\n", "\n",
"- `holidays`: This is to pass in a dataframe of specified holidays. The hol iday effects would be tuned with `holidays_prior_scale`.\n", "- `holidays`: This is to pass in a dataframe of specified holidays. The hol iday effects would be tuned with `holidays_prior_scale`.\n",
"\n", "\n",
"- `mcmc_samples`: Whether or not MCMC is used will likely be determined by factors like the length of the time series and the importance of parameter uncer tainty (these considerations are described in the documentation).\n", "- `mcmc_samples`: Whether or not MCMC is used will likely be determined by factors like the length of the time series and the importance of parameter uncer tainty (these considerations are described in the documentation).\n",
"\n", "\n",
"- `interval_width`: Prophet `predict` returns uncertainty intervals for eac h component, like `yhat_lower` and `yhat_upper` for the forecast `yhat`. These a re computed as quantiles of the posterior predictive distribution, and `interval _width` specifies which quantiles to use. The default of 0.8 provides an 80% pre diction interval. You could change that to 0.95 if you wanted a 95% interval. Th is will affect only the uncertainty interval, and will not change the forecast ` yhat` at all and so does not need to be tuned.\n", "- `interval_width`: Prophet `predict` returns uncertainty intervals for eac h component, like `yhat_lower` and `yhat_upper` for the forecast `yhat`. These a re computed as quantiles of the posterior predictive distribution, and `interval _width` specifies which quantiles to use. The default of 0.8 provides an 80% pre diction interval. You could change that to 0.95 if you wanted a 95% interval. Th is will affect only the uncertainty interval, and will not change the forecast ` yhat` at all and so does not need to be tuned.\n",
"\n", "\n",
"- `uncertainty_samples`: The uncertainty intervals are computed as quantile "- `uncertainty_samples`: The uncertainty intervals are computed as quantile
s from the posterior predictive interval, and the posterior predictive interval s from the posterior predictive interval, and the posterior predictive interval
is estimated with Monte Carlo sampling. This parameter is the number of samples is estimated with Monte Carlo sampling. This parameter is the number of samples
to use (defaults to 1000). The running time for predict will be linear in this n to use (defaults to 1000). The running time for predict will be linear in this n
umber. Making it smaller will increase the variance (Monte Carlo error) of the u umber. Making it smaller will increase the variance (Monte Carlo error) of the u
ncertainty interval, and making it larger will reduce that variance. So, if the ncertainty interval, and making it larger will reduce that variance. So, if the
uncertainty estimates seem jagged this could be increased to further smooth them uncertainty estimates seem jagged this could be increased to further smooth them
out, but it likely will not need to be changed. As with `interval_width`, this out, but it likely will not need to be changed. As with `interval_width`, this
parameter only affects the uncertainty intervals and changing it will not affect parameter only affects the uncertainty intervals and changing it will not affect
in any way the forecast `yhat`; it does not need to be tuned.\n", in any way the forecast `yhat`; it does not need to be tuned."
"\n",
"- `stan_backend`: If both pystan and cmdstanpy backends set up, the backend
can be specified. The predictions will be the same, this will not be tuned."
] ]
} }
], ],
"metadata": { "metadata": {
"celltoolbar": "Edit Metadata", "celltoolbar": "Edit Metadata",
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
 End of changes. 4 change blocks. 
16 lines changed or deleted 13 lines changed or added

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