From 4aec27ee0265db5886c3cdcb14d01fd38941ba03 Mon Sep 17 00:00:00 2001 From: Rajat Sen Date: Tue, 31 Dec 2024 00:07:59 +0000 Subject: [PATCH] push poetry version --- .github/workflows/main.yml | 2 +- README.md | 6 ++---- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 9c92025..df17594 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -23,7 +23,7 @@ jobs: # e.g. poetry version 0.1.${{ github.run_number }} - name: Set Version number run: | - poetry version 1.2.5 + poetry version 1.2.6 - name: Build and Publish to PyPI run: | poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }} diff --git a/README.md b/README.md index ef260c3..b8c1e49 100644 --- a/README.md +++ b/README.md @@ -23,19 +23,17 @@ We recommend at least 32GB RAM to load TimesFM dependencies. ## Checkpoint timesfm-1.0-200m (-pytorch) -timesfm-1.0-200m is the first open model checkpoint: +timesfm-1.0-200m is our first open model checkpoint: - It performs univariate time series forecasting for context lengths up to 512 timepoints and any horizon lengths, with an optional frequency indicator. - It focuses on point forecasts, and does not support probabilistic forecasts. We experimentally offer quantile heads but they have not been calibrated after pretraining. -- It requires the context to be contiguous (i.e. no "holes"), and the context and the horizon to be of the same frequency. ## Checkpoint timesfm-2.0-500m (-jax/-pytorch) -timesfm-2.0-500m is the second open model checkpoint: +timesfm-2.0-500m is our second open model checkpoint: - It performs univariate time series forecasting for context lengths up to 2048 timepoints and any horizon lengths, with an optional frequency indicator. - It focuses on point forecasts. We experimentally offer 10 quantile heads but they have not been calibrated after pretraining. -- It requires the context to be contiguous (i.e. no "holes"), and the context and the horizon to be of the same frequency. ## Benchmarks