udacity / nd0821-c2-build-model-workflow-starter Goto Github PK

2021-09-28 00:27:21,210 Downloading artifacts
2021-09-28 00:27:24,128 Loading model and performing inference on test set
Traceback (most recent call last):
  File "/opt/loggi/nd0821-ml-pipeline/src/test_regression_model/run.py", line 73, in <module>
    go(args)
  File "/opt/loggi/nd0821-ml-pipeline/src/test_regression_model/run.py", line 37, in go
    sk_pipe = mlflow.sklearn.load_model(model_local_path)
  File "/home/akio/miniconda3/envs/mlflow-d4cd2edbe762204ae630d5e343c25b496b164e3c/lib/python3.9/site-packages/mlflow/sklearn/__init__.py", line 471, in load_model
    local_model_path = _download_artifact_from_uri(artifact_uri=model_uri)
  File "/home/akio/miniconda3/envs/mlflow-d4cd2edbe762204ae630d5e343c25b496b164e3c/lib/python3.9/site-packages/mlflow/tracking/artifact_utils.py", line 83, in _download_artifact_from_uri
    return get_artifact_repository(artifact_uri=root_uri).download_artifacts(
  File "/home/akio/miniconda3/envs/mlflow-d4cd2edbe762204ae630d5e343c25b496b164e3c/lib/python3.9/site-packages/mlflow/store/artifact/local_artifact_repo.py", line 79, in download_artifacts
    raise IOError("No such file or directory: '{}'".format(local_artifact_path))
OSError: No such file or directory: './artifacts/random_forest_export%3Av3'

# We stream the file so that it can be downloaded even if it is bigger
# than the available memory

# Download the file streaming and write to open temp file
with requests.get(args.file_url, stream=True) as r:
    for chunk in r.iter_content(chunk_size=8192):
        fp.write(chunk)

# Make sure the file has been written to disk before uploading
# to W&B
fp.flush()

mlflow run . -P steps="download"

/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/types/schema.py:49: FutureWarning: In the future `np.object` will be defined as the corresponding NumPy scalar.
  binary = (7, np.dtype("bytes"), "BinaryType", np.object)
Traceback (most recent call last):
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/bin/mlflow", line 7, in <module>
    from mlflow.cli import cli
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/__init__.py", line 52, in <module>
    import mlflow.fastai as fastai  # noqa: E402
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/fastai.py", line 22, in <module>
    from mlflow import pyfunc
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/pyfunc/__init__.py", line 219, in <module>
    import mlflow.pyfunc.model
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/pyfunc/model.py", line 17, in <module>
    from mlflow.models import Model
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/models/__init__.py", line 25, in <module>
    from .signature import ModelSignature, infer_signature
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/models/signature.py", line 12, in <module>
    from mlflow.types.schema import Schema
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/types/__init__.py", line 6, in <module>
    from .schema import DataType, ColSpec, Schema, TensorSpec
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/types/schema.py", line 20, in <module>
    class DataType(Enum):
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/mlflow/types/schema.py", line 49, in DataType
    binary = (7, np.dtype("bytes"), "BinaryType", np.object)
  File "/home/teamx/miniconda3/envs/nyc_airbnb_dev/lib/python3.9/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. 
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations