diff --git a/README.md b/README.md index a6c9c8a..ad6b5fe 100644 --- a/README.md +++ b/README.md @@ -203,7 +203,7 @@ forecast_df = tfm.forecast_on_df( ## Covariates Support -We now have an external regressors library on top of TimesFM that can support static covariates as well as dynamic covariates available in the future. We have an usage example in `notebooks/covariates.ipynb`. +We now have an external regressors library on top of TimesFM that can support static covariates as well as dynamic covariates available in the future. We have an usage example in [notebooks/covariates.ipynb](https://github.com/google-research/timesfm/blob/master/notebooks/covariates.ipynb). Let's take a toy example of forecasting sales for a grocery store: @@ -242,11 +242,11 @@ In this example, besides the `Daily_sales`, we also have covariates `Category`, **Notice:** Here we make it mandatory that the dynamic covariates need to cover both the forecasting context and horizon. For example, all dynamic covariates in the example have 14 values: the first 7 correspond to the observed 7 days, and the last 7 correspond to the next 7 days. -We can now provide the past data of the two products along with static and dynamic covariates as a batch input to TimesFM and produce forecasts that take into the account the covariates. To learn more, check out the example in `notebooks/covariates.ipynb`. +We can now provide the past data of the two products along with static and dynamic covariates as a batch input to TimesFM and produce forecasts that take into the account the covariates. To learn more, check out the example in [notebooks/covariates.ipynb](https://github.com/google-research/timesfm/blob/master/notebooks/covariates.ipynb). ## Finetuning -We have provided an example of finetuning the model on a new dataset in `notebooks/finetuning.ipynb`. +We have provided an example of finetuning the model on a new dataset in [notebooks/finetuning.ipynb](https://github.com/google-research/timesfm/blob/master/notebooks/finetuning.ipynb). ## Contribution Style guide