Is Date2Time a general time representation? How I generate my own embeddings? about date2vec HOT 2 OPEN

Hi!
Thank you for taking interest in my project.

1. The tasks that I used to train the date2vec model on is given in the readme. In summary, I have given code for two tasks:

• Next date prediction: given a random timestamp, predict the exact timestamp after 24 hours.
• Date reconstruction (Autoencoding): given a random timestamp, predict the same timestamp.

2. The pretrained model is trained on the first task on a very large dataset of randomly generated timestamps. These models learn general representations because the training task is unsupervised.
3. If you want to use time2vec with your own model, simply import the layer and use it as an embedding. You can even finetune my pretrained model and maybe that might help?

Hope that helps you!

from date2vec.

Thank you for your answer. But you have check if this representation of time give better results instead of other simple representation of time like a simple datime feature or an one hot representation of time?
In the case of text, word2vec captures the context of each word and inject it in the representation taking into account the words around of the target word but what is the equivelant high level interpretation of time2vec. A datetime instead of a word always have the same neighborhood of datetimes. There is a physical order in the time which dominate the similarity across dates, always 17/8 will after 16/8 and before 18/8... there is no something similar in the text. So, what is the usefulness of a representation of time as embedding like date2vec instead of a simple feature?

from date2vec.