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Questions tagged [keras-tuner]

166 questions
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How to hypertune input shape using keras tuner?

I am trying to hypertune the input shape of an LSTM model based on the different values of timesteps. However, I am facing an issue. While initializing the model, the default value of timesteps (which is 2) is chosen, and accordingly, the…
Srijan
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In keras-tuner I got the valueError: `logits` and `labels` must have the same shape, received ((None, 2) vs (None, 1))

def build_model(hp): model = keras.Sequential() for i in range(hp.Int('input_shape', 2, 20)): model.add(layers.Dense(units=hp.Int('units_' + str(i), min_value=32, …
Sahil Bhatti
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No hparams data was found when using tensorboard with keras-tuner

versions: tensorboard==2.9.0, keras-tuner==1.1.2 Here is simple model of binary classification with hyperparameters to search added in the model by using keras-tuner. def build_model(hp): n_layers = 4 n_features = len(X_train.columns) inputs =…
haneulkim
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Missing val_loss and val_accuracy after overriding the fit function

Following Keras Tuner's documentation for implementing a custom objective function, the fit function of my model's class is as below: class HyperAE(kt.HyperModel): def build(self, hp): ... def fit(self, hp, model, x, y, validation_data,…
Winston
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Trouble with setting the objective function in BayesianOptimization tuner in keras_tuner

I'm trying to tune hyperparameters for an LSTM model in Keras using Keras tuner's BayesianOptimization tuner. I keep getting error messages that seem to object to what I put in the objective argument when I instantiate the tuner. Here's my code: …
koiky71
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Unclear scoring metric of keras-tuner's SklearnTuner

In the docs from keras-tuner's SklearnTuner, one can find: "Note that for this Tuner, the objective for the Oracle should always be set to Objective('score', direction='max')" When setting the argument…
Nick Janssen
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Tuner search with Keras Tuner

I am using Keras Tuner package.I trying to make hyperparameter tunning with the example explained here https://www.tensorflow.org/tutorials/keras/keras_tuner. Code is functioning very well but when I start code but when I try to start the second…
silent_hunter
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the hyperband method from Keras Tuner throws an UnimplementedError

The hyperband method from Keras Tuner throws the following error: UnimplementedError: ./untitled_project; Operation not supported The following code generates the error: def build_model(hp): model = tf.keras.Sequential() hp_units1 =…
Medha Chippa
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raise ValueError("Shapes %s and %s are incompatible" % (self, other)) error while trying to get tuner.get_best_models()[0].summary() using keras-tuner

I am trying to optimze hyperparamter for 1D CNN model using keras-tuner. Everything looks perfect while trying to get the best parameter. But when I try to print tuner.get_best_models()[0].summary(), it gives me the following error: raise…
Edy Ashton
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Keep getting NaNs value for scoring when tuning on KerasRegressor

I am trying to tune hyperparameter on the KerasRegressor However, i only get the result of NaN's which is shown below, may i know what cause the issue? everything works fine when i try to compile my model... but the scoring for the best parameters…
Chuen Yik Kang
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Keras Tuner not Utilising TPUs on Google Colabs

I'm at a complete loss with this one. I have implemented the following code, using the common pattern for defining a 'resolver' and the TPU Strategy. However, when I run this, the tuner.search function is running at the speed of a regular CPU and I…
Larry125
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object not created in function when tuning hyperparameters using keras tuner

I created a function build_model to tune hyperparameters. However, the function fails to create objects within it, the rlr object (ReduceLROnPlateau). I know the function has run because I tested it by inserting some print statements. Why are the…
lingyau lee
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How to plot learning curves for each trial using the keras-tuner

I am using keras tuner for model selection for my neural network model for a regression task, I would like to plot the learning curves for loss and validation loss for each iteration of the random search. How could I do it? This is my code def…
JayJona
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Module object is not callable (kerastuner)

I am trying to optimize my keras NN using kerastuner but for some reason its giving me a 'module' object is not callable error on the tuner=randomsearch line. import pandas as pd import numpy as np from sklearn.preprocessing import scale from…
Benuker
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Can keras_tuner (Keras Tuner) be used for non model hyper parameters?

After looking at doc and tutorial, it seems to me it is very easy to define a hyper parameter for your model. This includes the code to construct it out of layers, as well as compile related ones such as learning rate. What I am looking for (also)…
kawingkelvin
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