Comments (7)
from gluonts.
This looks like a hand-written path somewhere (the “/tmp” path on Windows means nothing).
Thanks, looking into it.
from gluonts.
#77 should have fixed the issue. Until a new release is tagged, you can try out the master branch by cloning the repo and doing
cd gluon-ts
pip install .
and verify that the tutorial notebook works fine (fingers crossed).
from gluonts.
from gluonts.
That's really weird, because tempfile
should now use the right default temporary directory for windows (c:\temp
or something like that).
Maybe something got cached? Did you try installing the master branch on a brand new environment?
from gluonts.
I think there is a problem in the package build process on Windows. I’ll open a dedicated issue for that.
Good to hear that the fix works though, you will be able to properly get the upgraded package with pip install —upgrade once we release a new version.
from gluonts.
hi, Could you please help me in this error:
Traceback (most recent call last):
File "C:/Users/mohammed/PycharmProjects/TensorFlowProject/tajrebe.py", line 30, in
ds_train = tf.keras.preprocessing.image_dataset_from_directory(
File "C:\Users\mohammed\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\preprocessing\image_dataset.py", line 175, in image_dataset_from_directory
image_paths, labels, class_names = dataset_utils.index_directory(
File "C:\Users\mohammed\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\keras\preprocessing\dataset_utils.py", line 65, in index_directory
for subdir in sorted(os.listdir(directory)):
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:/Users\mohammed\PycharmProjects\TensorFlowProject\cancer_data\Train_subfolders/'
from gluonts.
Related Issues (20)
- The simple example runs to completion, but does not output a plot HOT 1
- `TypeError: list indices must be integers or slices, not tuple` when using `DummyValueImputation` HOT 1
- AssertionError when reproduction of Dlinear model HOT 18
- best way for non-periodicity data? HOT 5
- Update dependencies HOT 2
- Dependency clashes (in kaggle) HOT 1
- Convert ListDataset to Multivariate dataset with gluonts.dataset.multivariate_grouper HOT 2
- Only a single validation batch is used if `estimator.train` called with `cache_data=True` HOT 3
- GluonTSDataError: Input for field "target" does not have the requireddimension (field: target, ndim observed: 2, expected ndim: 1) HOT 5
- Which datasets provided in the library are multivariate? HOT 1
- GPVAREstimator - AssertionError: HOT 3
- Numerical overflow in StdScaler HOT 1
- Training is extremely slow on Gluonts [Torch] HOT 1
- Unify QuantileOutput and DistributionOutput
- Unify the design of seq2seq PyTorch models
- Add support for all covariate types to all PyTorch models
- Change of behaviour from lightning logger HOT 2
- BUG No module named 'gluonts.torch.model.i_transformer' HOT 1
- The annotation of the parameter device of PyTorchPredictor is incomplete HOT 2
- Dataframe index is not uniformly spaced. If your dataframe contains data from multiple series in the same column ("long" format), consider constructing the dataset with `PandasDataset.from_long_dataframe` instead. HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from gluonts.