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

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 ...
  • babesrani
  • 1
  • Opened 
    on Apr 23, 2024
  • #295

maxpumperla/hyperas
I am having error of No such file or directory: 'C:\\Users\\fnur42\\AppData\\Local\\Temp\\ipykernel_3156\\3188587457.py'.This error shows in the best_run,best_model line. What is ipykernel file and how I can create it?

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 existing issues, also the closed ...
  • fariakunja
  • Opened 
    on Apr 9, 2023
  • #294

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

#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) ...
  • rajitsri
  • 1
  • Opened 
    on Mar 29, 2023
  • #293

maxpumperla/hyperas
getting issue in this code is there anyone can help me out? It will be greatfull... #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. y_pred[y_pred == 1] = 0 y_pred[y_pred == -1] = 1 n_errors = (y_pred != Y_test).sum()

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 existing issues, also the closed ...
  • rajitsri
  • Opened 
    on Mar 29, 2023
  • #292

maxpumperla/hyperas
module 'hyperopt.pyll' has no attribute 'base'

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: def memo_from_config(self, config): ...
  • julesangebault
  • 1
  • Opened 
    on Aug 19, 2022
  • #291

maxpumperla/hyperas
global variable issue

Helo there, I have the following code. a global variable that num_gpu that indicates the number of gpus availavle. If I can data() or create_mode() separate everything is fine. But when I call optim.minimize ...
  • BITACC
  • 2
  • Opened 
    on Jun 25, 2022
  • #289

maxpumperla/hyperas
AttributeError: numpy.random.mtrand.RandomState object has no attribute 'integers'

The above error indicates to me that the build on the supercomputer I am using to train. It is the same as the one here: https://github.com/maxpumperla/hyperas/issues/284 . I reset hyperas to 0.2.5 like ...
  • michaelmontalbano
  • Opened 
    on Apr 28, 2022
  • #288

maxpumperla/hyperas
Why hyperas is executing Raw Text as code

I have encountered this issue where the hyper optimisation code tries to execute a block of raw text somewhere else in the notebook, raising a ridiculous Syntax Error. Sometimes it works sometimes it begins ...
  • DagonArises
  • 1
  • Opened 
    on Feb 8, 2022
  • #287

maxpumperla/hyperas
Can Hyperas natively return data regarding all models ran during an optimization cycle?

For example, if I test dropout and l2_regularization through hyperas optimization, is there a way to return the set of data which relates the loss metrics of each NN configuration? Or would I have to hardcode ...
  • michaelmontalbano
  • 1
  • Opened 
    on Jan 27, 2022
  • #286

maxpumperla/hyperas
KeyError: job exception: 'val_acc'

The error occurred before model evaluation: Epoch 1/2 422/422 - 3s - loss: 1.7380 - accuracy: 0.4183 - val_loss: 0.8082 - val_accuracy: 0.8570 Epoch 2/2 ...
  • DagonArises
  • 2
  • Opened 
    on Dec 15, 2021
  • #285
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