Comments (1)
Hi xyan326, thanks for your interest in PECOS.
Currently(as of release v0.1.0) PECOS's installation needs to be inside a Git repository for obtaining the version information from Git tags.
The git repository folder .git
, are alongside the distribution from git clone
, but not in the zip
files, and that's the reason for your error.
Could you please try one of the following, and they both work:
- Follow
README
: Clone from GitHub and install
git clone https://github.com/amzn/pecos
cd pecos
pip3 install --editable ./
- Download and unzip the file, create a new git repo within it: (This will show an artificial dummy version 0.0.0 because lacking Git repo info, which is not the true version of the package)
# unzip
unzip pecos.zip
cd pecos
# initialize repository
git init
pip3 install --editable ./
If your VE has problem using Git, or you would rather not use git, please let us know and we will change the underlying requirement for installation.
Thanks!
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Related Issues (20)
- Extreme multi-label classification - Text data - training set size for a class
- XLinearModel preprocessing and metrics HOT 2
- Xtransformer Predict - Threshold HOT 3
- Trying to use HybridIndexer for Label Indexing, run into issue where TrieWrapper has no attribute '_sorted' HOT 14
- Add FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search HOT 1
- Perform inference in C++/Java HOT 1
- XLinearModel (trained) when saving it generates an error OSError: [Errno 95] Operation not supported HOT 9
- ValueError: len(params.neg_mining_chain)=4 != 3 HOT 1
- Trying to understand Cluster chain shape using hybrid indexer HOT 5
- Hyperparameter optimization/tuning
- How do I adjust parameter when the recall of a particular label is zero In Classification Task?
- Indexer as hierarchicalkmeans cannot get the correct label partition
- FineTune on Custom Dataset
- Training process freezes without using GPUs
- Newlines in Tfidf vectorizer corpus cause runtime exceptions when loading a trained vectorizer HOT 1
- Some confusion in pecos.utils.smat_utils.binarized HOT 1
- Floating point exception (core dumped) problem
- Integrate Low-rank adaptation (LoRA)
- PEFA WSDM 24 HOT 1
- Cannot replicate the XR-Linear performance with TF-IDF features and a Fine-tune Embedding Model
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