Yichen Zhou
Yichen Zhou
Try ```Python rtl_layer_ensemble_model.save("model_keras") loaded_model = tf.keras.models.load_model( "model_keras", custom_objects=tfl.premade.get_custom_objects(), ) ``` 1. `tf.keras.models.load_model` reconstructs the Keras model, thus you need to pass in the custom objects used by the model in...
Hi @expeon07 in case the problem still persists could you provide a full stack trace?
This looks like an issue that happened during jitting the model, and it might be because the`context_len` was not a multiplier of 32. What were the params you used to...
Looks like lingvo lacks pip support on macOS https://github.com/tensorflow/lingvo/issues/195
Jitting will take a while (e.g. up to 1 minute on my server with 2x Intel Xeon Gold 6154). Any luck if you wait a bit longer?
``` my_checkpoint_path = "/repo/timesfm_model/checkpoints" tfm.load_from_checkpoint(checkpoint_path=my_checkpoint_path) ``` is the correct way to call. One "checkpoint" is the set of everything under checkpoint_1100000, and here we point to the parent directory. Quick...
Lgtm. Again thanks for the nice work, @JustinGuese!
Can confirm that we are looking into PyTorch support but there's no timeline yet.
The xreg output is mostly FYI. My intuition is that renormalizing xreg output makes little sense if we call TimesFM forecast first and use xreg to fit the residuals. Do...
You understanding is correct. Other regression models also work and can be implemented in a similar fashion. Linear + ridge are provided here since they have closed form solutions which...