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| Using the same dataset ``` data = ResourceData["Sample Data: Titanic Survival"]; titanic = Classify[data -> "SurvivalStatus"] ``` after training you can extract the estimated data distribution using `Information` ``` dist =... |
| What you are looking for seems to be ``` AggregationLayer[Max] ``` which will take `[channels, height, width]` and return `[channels]` using `Max` to aggregate the other dimensions. |
| This network is solving a regression task and has no error rate. Building a classification network which automatically uses a cross entropy loss (e.g. which ends with a logistic sigmoid or a softmax layer) will automatically add the error rate among... |
| Hi Gianluca and thanks for sharing this! One question: why do you map `NetTrain` instead of of using `MaxTrainingRounds`? Do you want to reset the learning rate? |
| At the moment the clustering metrics are all internal and used to optimize hyper-parameters. We have a plan to expose them and if there is some interest all the better. For the time being, and keeping in mind that is code might change in the... |
| I believe this is due to some overzealous standardization step in the automated processing pipeline (boolean vectors are converted to numerical vectors for processing). You can disable that using the "Minimal" feature extraction: data = {True,... |
| I am not sure I understand your problem correctly. If what you are asking is how to get the prediction for specific values it is just ``` result[{200, 210, 215, 235}] (* {82.839, 82.8391, 82.8392, 82.8393} *) ``` By the way, there are ways... |
| Just a note, `ResizeLayer` has been updated to work on arbitrary rank ResizeLayer[{1, 2, 3, 4, 5}][RandomReal[1, {3, 2, 2, 2, 2, 2}]] // Dimensions (* {3, 1, 2, 3, 4, 5} *) |
| The best importer right now is from ONNX so I would start with a Tensorflow -> ONNX converter like this https://github.com/onnx/tensorflow-onnx There is also a small tutorial by Microsoft ... |
| There are no secret advantages, just a misunderstanding. Indeed I am not sorting by `Last` but by `First` (see my post). I thought you where asking a general question about the sorting algorithms. |