hyperas

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modify line 139 in optim.py

1

i just changed the line #rstate=np.random.RandomState(rseed), by rstate=np.random.default_rng(rseed), to allow compatibility with hyperopt==0.2.7

bessembhiri

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

13

The error: --------------------------------------------------------------------------- ``` AttributeError Traceback (most recent call last) in () 3 algo= tpe.suggest, max_evals= 5, 4 trials= Trials(), ----> 5 notebook_name='Deep learning GridSearch') 6 xtr, ytr, xte, yte=...

DagonArises

global variable issue

2

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...

BITACC

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...

michaelmontalbano

Cannot run hyperas on databricks, [Errno 2] No such file or directory: "/databrikcs/driver/notebook_name"

1

I am having trouble running hyperas on Databricks (I am using the same code as the code example provided). The issue is that as I am using a notebook in...

khalidaskia

Why hyperas is executing Raw Text as code

1

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...

DagonArises

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

1

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?...

michaelmontalbano

Error in SVM as:- AttributeError: 'RandomizedSearchCV' object has no attribute 'best_estimator_' and 'NameError: name 'X_train_confirmed' is not defined"

4

import numpy as np import pandas as pd import matplotlib.colors as mcolors import random import math import time from sklearn.model_selection import RandomizedSearchCV, train_test_split from sklearn.svm import SVR from sklearn.metrics import...

DebjyotiSaha

KeyError: job exception: 'val_acc'

2

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 2/2 422/422 - 2s -...

DagonArises

hyperparameters and results from all trials

6

Hi, great library! I was just wondering, is there an easy way to save off the hyperparameter choices and best loss/accuracy from each of the trials that are done?

alexrisman