From 0b46abc393b9b802ed1ce2da254c52a20b4e2f84 Mon Sep 17 00:00:00 2001 From: Olivier Sprangers Date: Thu, 2 May 2024 21:18:46 +0200 Subject: [PATCH] rerun_notebooks_for_colab_badge --- nbs/docs/capabilities/1_1_quickstart_forecast.ipynb | 2 +- nbs/docs/capabilities/2_1_quickstart_anomaly_detection.ipynb | 2 +- nbs/docs/tutorials/02_holidays.ipynb | 2 +- nbs/docs/tutorials/03_categorical_variables.ipynb | 2 +- nbs/docs/tutorials/04_longhorizon.ipynb | 2 +- nbs/docs/tutorials/05_multiple_series.ipynb | 2 +- nbs/docs/tutorials/06_finetuning.ipynb | 2 +- nbs/docs/tutorials/07_loss_function_finetuning.ipynb | 2 +- nbs/docs/tutorials/08_cross_validation.ipynb | 2 +- nbs/docs/tutorials/09_historical_forecast.ipynb | 2 +- .../10_uncertainty_quantification_with_quantile_forecasts.ipynb | 2 +- ...1_uncertainty_quantification_with_prediction_intervals.ipynb | 2 +- nbs/docs/tutorials/12_irregular_timestamps.ipynb | 2 +- nbs/docs/tutorials/13_bounded_forecasts.ipynb | 2 +- nbs/docs/tutorials/14_hierarchical_forecasting.ipynb | 2 +- .../tutorials/16_computing_at_scale_spark_distributed.ipynb | 2 +- nbs/docs/tutorials/17_computing_at_scale_dask_distributed.ipynb | 2 +- nbs/docs/tutorials/18_computing_at_scale_ray_distributed.ipynb | 2 +- nbs/docs/use-cases/1_forecasting_web_traffic.ipynb | 2 +- 19 files changed, 19 insertions(+), 19 deletions(-) diff --git a/nbs/docs/capabilities/1_1_quickstart_forecast.ipynb b/nbs/docs/capabilities/1_1_quickstart_forecast.ipynb index 591ca96c..a54d27ef 100644 --- a/nbs/docs/capabilities/1_1_quickstart_forecast.ipynb +++ b/nbs/docs/capabilities/1_1_quickstart_forecast.ipynb @@ -34,7 +34,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/getting-started/1_getting_started_short.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/capabilities/2_1_quickstart_anomaly_detection.ipynb b/nbs/docs/capabilities/2_1_quickstart_anomaly_detection.ipynb index 84fa03c9..d24a5177 100644 --- a/nbs/docs/capabilities/2_1_quickstart_anomaly_detection.ipynb +++ b/nbs/docs/capabilities/2_1_quickstart_anomaly_detection.ipynb @@ -44,7 +44,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/0_anomaly_detection.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/02_holidays.ipynb b/nbs/docs/tutorials/02_holidays.ipynb index 9ad5e7ad..6134689c 100644 --- a/nbs/docs/tutorials/02_holidays.ipynb +++ b/nbs/docs/tutorials/02_holidays.ipynb @@ -47,7 +47,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/2_holidays.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/03_categorical_variables.ipynb b/nbs/docs/tutorials/03_categorical_variables.ipynb index 23a08d6f..d9232803 100644 --- a/nbs/docs/tutorials/03_categorical_variables.ipynb +++ b/nbs/docs/tutorials/03_categorical_variables.ipynb @@ -49,7 +49,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/13_categorical_variables.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/04_longhorizon.ipynb b/nbs/docs/tutorials/04_longhorizon.ipynb index 5fc22e2f..2f427cfd 100644 --- a/nbs/docs/tutorials/04_longhorizon.ipynb +++ b/nbs/docs/tutorials/04_longhorizon.ipynb @@ -46,7 +46,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/12_longhorizon.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/05_multiple_series.ipynb b/nbs/docs/tutorials/05_multiple_series.ipynb index fb468e65..41db5916 100644 --- a/nbs/docs/tutorials/05_multiple_series.ipynb +++ b/nbs/docs/tutorials/05_multiple_series.ipynb @@ -49,7 +49,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/6_multiple_series.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/06_finetuning.ipynb b/nbs/docs/tutorials/06_finetuning.ipynb index f23d2ac6..4093b253 100644 --- a/nbs/docs/tutorials/06_finetuning.ipynb +++ b/nbs/docs/tutorials/06_finetuning.ipynb @@ -47,7 +47,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/5_finetuning.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/07_loss_function_finetuning.ipynb b/nbs/docs/tutorials/07_loss_function_finetuning.ipynb index 808dec89..20c6b25d 100644 --- a/nbs/docs/tutorials/07_loss_function_finetuning.ipynb +++ b/nbs/docs/tutorials/07_loss_function_finetuning.ipynb @@ -49,7 +49,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/11_loss_function_finetuning.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/08_cross_validation.ipynb b/nbs/docs/tutorials/08_cross_validation.ipynb index 136aac82..b7a7c3e2 100644 --- a/nbs/docs/tutorials/08_cross_validation.ipynb +++ b/nbs/docs/tutorials/08_cross_validation.ipynb @@ -47,7 +47,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/4_tutorials/08_cross_validation.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/09_historical_forecast.ipynb b/nbs/docs/tutorials/09_historical_forecast.ipynb index ff0a4215..e546777b 100644 --- a/nbs/docs/tutorials/09_historical_forecast.ipynb +++ b/nbs/docs/tutorials/09_historical_forecast.ipynb @@ -45,7 +45,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/7_historical_forecast.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/10_uncertainty_quantification_with_quantile_forecasts.ipynb b/nbs/docs/tutorials/10_uncertainty_quantification_with_quantile_forecasts.ipynb index 37c8fcf2..d8f26e1a 100644 --- a/nbs/docs/tutorials/10_uncertainty_quantification_with_quantile_forecasts.ipynb +++ b/nbs/docs/tutorials/10_uncertainty_quantification_with_quantile_forecasts.ipynb @@ -53,7 +53,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/10_quantile_forecasts.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/11_uncertainty_quantification_with_prediction_intervals.ipynb b/nbs/docs/tutorials/11_uncertainty_quantification_with_prediction_intervals.ipynb index b531fa4a..8a4f9d78 100644 --- a/nbs/docs/tutorials/11_uncertainty_quantification_with_prediction_intervals.ipynb +++ b/nbs/docs/tutorials/11_uncertainty_quantification_with_prediction_intervals.ipynb @@ -53,7 +53,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/4_uncertainty_quantification_with_prediction_intervals.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/12_irregular_timestamps.ipynb b/nbs/docs/tutorials/12_irregular_timestamps.ipynb index f14d8897..0b76e717 100644 --- a/nbs/docs/tutorials/12_irregular_timestamps.ipynb +++ b/nbs/docs/tutorials/12_irregular_timestamps.ipynb @@ -32,7 +32,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/8_irregular_timestamps.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/13_bounded_forecasts.ipynb b/nbs/docs/tutorials/13_bounded_forecasts.ipynb index a1b809db..19169aae 100644 --- a/nbs/docs/tutorials/13_bounded_forecasts.ipynb +++ b/nbs/docs/tutorials/13_bounded_forecasts.ipynb @@ -47,7 +47,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/14_bounded_forecasts.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/14_hierarchical_forecasting.ipynb b/nbs/docs/tutorials/14_hierarchical_forecasting.ipynb index 0a835a7d..056e73e4 100644 --- a/nbs/docs/tutorials/14_hierarchical_forecasting.ipynb +++ b/nbs/docs/tutorials/14_hierarchical_forecasting.ipynb @@ -47,7 +47,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/15_hierarchical_forecasting.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/16_computing_at_scale_spark_distributed.ipynb b/nbs/docs/tutorials/16_computing_at_scale_spark_distributed.ipynb index 3e39a061..deed61bd 100644 --- a/nbs/docs/tutorials/16_computing_at_scale_spark_distributed.ipynb +++ b/nbs/docs/tutorials/16_computing_at_scale_spark_distributed.ipynb @@ -46,7 +46,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/how-to-guides/1_computing_at_scale_with_spark.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/17_computing_at_scale_dask_distributed.ipynb b/nbs/docs/tutorials/17_computing_at_scale_dask_distributed.ipynb index 9af77de9..5f9871f9 100644 --- a/nbs/docs/tutorials/17_computing_at_scale_dask_distributed.ipynb +++ b/nbs/docs/tutorials/17_computing_at_scale_dask_distributed.ipynb @@ -44,7 +44,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/how-to-guides/1_computing_at_scale_with_dask.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/tutorials/18_computing_at_scale_ray_distributed.ipynb b/nbs/docs/tutorials/18_computing_at_scale_ray_distributed.ipynb index 6689395f..a458f737 100644 --- a/nbs/docs/tutorials/18_computing_at_scale_ray_distributed.ipynb +++ b/nbs/docs/tutorials/18_computing_at_scale_ray_distributed.ipynb @@ -46,7 +46,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/how-to-guides/1_computing_at_scale_with_ray.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ "" diff --git a/nbs/docs/use-cases/1_forecasting_web_traffic.ipynb b/nbs/docs/use-cases/1_forecasting_web_traffic.ipynb index fa18288e..ea2cd591 100644 --- a/nbs/docs/use-cases/1_forecasting_web_traffic.ipynb +++ b/nbs/docs/use-cases/1_forecasting_web_traffic.ipynb @@ -44,7 +44,7 @@ { "data": { "text/markdown": [ - "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/how-to-guides/forecasting_web_traffic_with_timegpt.ipynb)" + "Open this notebook in Google Colab" ], "text/plain": [ ""