machinelearning

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Description
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https://github.com/infinitered/nsfwjs/blob/ebcd41c46087a3f42c6577f96acc53d7a934b068/src/index.ts#L68

Hello, it seems, although not explicit I can save the model to different schemas by referencing the underlying "model" attribute in the model returned by nsfwjs.load() e.g.

`nsfwjs.load(path).then(function (newModel) {
console.log("path", path);
if(newModel) {

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?

Hello everyone,

First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome!

If you like the project and have any interest in contributing/maintaining it, you can contact me here or send me a msg privately:

• Email: nidhalbacc@gmail.com

PS: You need to be familiar with python and machine learning

On MacOS, the tslearn.datasets does not work out-of-the-box.

In order to make it work, you need to apply the following steps:

1. Go to your finder
2. run "/Apps/Python/Install Certificates.command". This basically installs the certifi package with pip.

Perhaps we should add this to the documentation page of our datasets module?

If it doesn't already exist in the NannyML package (I didn't find it), it would be nice to have a collection of bare-bones functions to predict performance using only a list / array / series of y_pred_proba values.

Context

The user provided node_name_mapping is not used when running TF SavedModels. It's only used when running TF frozen graphs.

TF SavedModels have SignaureDefs. These are quite similar to what node_name_mapping is in Neuropod.

Since SavedModel already has this functionality (and other projects like TF serving use it), it made sense to use that data as the node name mapping. O