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Train multiple neural networks in one Analysis?
The title basically says it all. I want to try different hyperparameters for my Neural Network (or algorithms in general). For some, like random forest, I can specify a list - e.g., max_depth. What I need is a queue of Neural Networks with different hyperparameters, so that I can start them in the evening and come back to…
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Why are the probabilities different?
Hi, I created a simple model to predict a true/false variable and trained it with about 5000 records. The probabilities in the "proba_0" and "proba_1" columns on the Predicted Data tab have a normal, expected distribution. However, when I export the model to an iPython notebook and manually run the code, the probabilities…
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Difference between 'evaluate' recipe and python functions
Hi, I have a question about the metric output of the 'evaluate' recipe. I created a RF model and then I make a prediction on 'new data'. Then I use the 'evaluate' recipe to create the extra 'prediction_correct' column and to get the output file with the metrics. In this file you can find the accuracy, precision, recall,…
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Retrained model does not update the number of class in the target variable
Hi, I had trained and deployed a multiclassification GBM model where the target variable had 5 classes. I changed the train set and the target changed from 5 to 4 classes. However, after I retrained the model I had deployed, the new confusion matrix is still showing me the class which was dropped (with all NAs values in…
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How to force model rebuild?
Hi, when rebuilding a part of the flow, how can we force rebuilding the model that are in the rebuilt sub-part of the flow? Thanks Pauline
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Using Tensorflow in a Custom Python Model.
To use the tensorflow in the custom python model, the code needs to provide the methods fit() and predict(), like SK-Learn. The code below is the code that I think I need to use. import tensorflow as tf # Specify that all features have real-value data feature_columns = [tf.contrib.layers.real_valued_column("",…
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Dataset Ingestion
Hi, I am creating an model and deploy it. I have a question that, Is there any way I can change my incoming file system ? For Example : I have used local file system and created a model. Now I want to change my file source to FTP/HTTP. Would that possible ? Regards, Nantha.
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ufunc 'isinf' not supported
Hello, I use DSS Free 4.0.9 and wanted to cluster some data. When I use Interactive clustering or KMeans, both returns: Training Failed… Sorry ufunc 'isinf' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' The same I got when I run…
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How to (un)fold data for prediction? Specific case
Hello, I'm Dataiku and ML beginner, so excuse my (maybe) simple question. I have a dataset with data on internet companies. Originally it came with ">" and "," separated info on target markets (column: markets). There are some extra columns on eg. #of employees, financing etc to the right. My goal is to create a model with…
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Model Summary showing an error : An invalid argument encountered
Hi , I have done a quick model and train it. When i click model to view summary i am getting an error like, An invalid argument has been encountered : -Infinity is not a valid double value as per JSON specification. To override this behavior, use GsonBuilder.serializeSpecialFloatingPointValues() method. I have tried…
