hyperas

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I'm using a custom data loading function to read in data to a neural net for hyperas. Since there are many large files, the function creates multiple threads to do...

chrwang

Passing the None type as a default argument for the Voting Model and base minimizer produces an error when running some of the examples (i.e. mnist ensemble example) `Exception ignored...

MannyKayy

True loss and true variance

1

Hi , Thanks for great library! Could you support minimize function based true_loss and true_loss_variance ? [https://github.com/hyperopt/hyperopt/wiki/FMin](https://github.com/hyperopt/hyperopt/wiki/FMin) I mean if model returns dictionary containing these keys , then it's probably...

danil-z

when i re-run the notebook after changing something in the model(), minimize() does not care about the changes i made?

1

say, i changed the number of epochs in the fit function in the model, when i run the cell in the notebook again the minimize() keep remembering the old epochs...

ghost

Error when choosing between sets of advanced activations layers

8

Hi, I am optimizing the number of neurons and the activation function of the layers of a two hidden-layer network for the mnist dataset, but when I tried choosing from...

ismaeIfm

module 'hyperopt.pyll' has no attribute 'base'

1

Hi I'm trying to us Hyperas to optimise my Neural Network but I keep receiving this error message: module 'hyperopt.pyll' has no attribute 'base' It comes from that function: ```...

julesangebault

Before filing an issue, please make sure to tick the following boxes. - [ ] Make sure your issue hasn't been filed already. Use GitHub search or manually check the...

fariakunja

getting issue in this code is there anyone can help me out? It will be greatfull...

1

#Building another model/classifier ISOLATION FOREST from sklearn.ensemble import IsolationForest ifc=IsolationForest(max_samples=len(X_train), contamination=outlier_fraction,random_state=1) ifc.fit(X_train) scores_pred = ifc.decision_function(X_train) y_pred = ifc.predict(X_test) # Reshape the prediction values to 0 for valid, 1 for fraud....

rajitsri

I always have this error after executing the following code : NameError: name 'x_train' is not defined

1

import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline import os print(os.listdir()) import warnings warnings.filterwarnings('ignore') dataset = pd.read_csv("C:/Users/pavan/OneDrive/Documents/heart (1).csv") dataset.head(5) from...

babesrani