URL(s) with the issue:

In the 1.15 changelog:

https://github.com/tensorflow/tensorflow/releases/tag/v1.15.0

tf.keras.model.save_model and model.save now defaults to saving a TensorFlow SavedModel.

In the 1.15 docstring:
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/Model#save

filepath: String, path to SavedModel or H5 file to save the model. overwrite: Whe

I could not find anything in the docs about how to handle different frequencies of time series. I have a Dataset A with monthly data that i want to use to predict the values from Dataset B that contains quarterly based data. So the target value e.g. quarter 1 is based on the values from month 1-3.

Dataset A (Features):

| Month | Value1 | Value2 | Value3 |
| ------------- | ------------- |

I think this example should use multimetric scoring:
https://scikit-learn.org/dev/auto_examples/model_selection/plot_grid_search_digits.html#sphx-glr-auto-examples-model-selection-plot-grid-search-digits-py

That would mean that we have to specify "refit" though, and we would refit only based on one of them. We could technically reuse the same grid-search results and refit another time as an al

Context

We would like to add torch::nn::functional::normalize to the C++ API, so that C++ users can easily find the equivalent of Python API torch.nn.functional.normalize.

Steps

• Add torch::nn::NormalizeOptions to torch/csrc/api/include/torch/nn/options/normalization.h (add this file if it doesn’t exist), which should include the following parameters (based on https://pytorch.

Short description

I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.

Environment

• Tesseract Version: 3.04.01
• Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
• Platform: Linux ubuntu

Could someone tell me if this example comes with any documents about preparing data, training, and testing? Thanks.

In https://github.com/JuliaLang/julia/blob/606420a308d951ab810a05f6f6c50a1b805f2b47/base/reshapedarray.jl#L173-L177 it should be checked whether the requested array has offset axes.
Otherwise we can get segfaults. See #33603

In the 1D->1D case (AbstractVector) there already is such a check:
https://github.com/JuliaLang/julia/blob/606420a308d951ab810a05f6f6c50a1b805f2b47/base/reshapedarray.

I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration ✨ For existing plugins and projects, check out the spaCy universe.

If you have questions about the projects I suggested,