]įile "/home/user/.local/lib/python3.5/site-packages/sklearn/preprocessing/data.py", line 133, in scaleįile "/home/user/.local/lib/python3.5/site-packages/sklearn/utils/validation.py", line 433, in check_arrayĪrray = np.array(array, dtype=dtype, order=order, copy=copy)
#SETTING AN ARRAY ELEMENT WITH A SEQUENCE HOW TO#
Please let me know if you have any idea how to solve this issue or what it even means. The data are of type float.įrom reading other questions regarding this issue: ValueError: setting an array element with a sequence, it's either due to wrong structure of my data or because my data is of type string. I am using the preprocessing module to prep my data. Thanks.I'm trying to use scikit-learn to do some ML. Please help and also please ask if anything is unclear. ValueError: setting an array element with a sequence.Ĭan anyone of you help me to resolve this error, I am almost done with my project, but this is out of my knowledge. Dim curExpense(364) As Currency To set the value of an individual element, you specify the element's index.
By default, an array is indexed beginning with zero, so the upper bound of the array is 364 rather than 365. Arrays might store vertex data for complex shapes, recent keystrokes from the keyboard, or data read from a file. When you pass a python tuple or list to be interpreted as a numpy array element: import numpy numpy.array ( 1,2,3) good numpy.array ( 1, (2,3)) Fail, can't convert a tuple into a numpy array element an ( 5, (6+7)) good an ( 5,tuple (range (2))) Fail, can't convert. It can be thrown under various circumstances. Means exactly what it says, you're trying to cram a sequence of numbers into a single number slot. There can be arrays of numbers, characters, sentences, boolean values, and so on. ValueError: setting an array element with a sequence. As best I can tell, one of three problems is occurring: (a) my knowledge of RL is deficient, (b) the authors of this article are communicating very badly, or (c) the authors don't know what they're talking about.
The following statement declares the array variable with 365 elements. Arrays can be created to hold any type of data, and each element can be individually assigned and read. I need a sanity check about an article I'm reading about reinforcement learning algorithms. > 538 return array(a, dtype, copy=False, order=order) Each element in an array contains one value. > 2 classifier.fit(X_train, y_train,batch_size=100,epochs=5,callbacks=callback ,validation_data=(X_test, y_test)) Now after making callback and using classifier.fir function, it should return a training loss value along with epoch count, but it is giving me an unexpected error shown below - callback = Ĭlassifier.fit(X_train, y_train,batch_size=100,epochs=5,callbacks=callback ,validation_data=(X_test, y_test)) max_len=50Ĭlassifier.add(Embedding(max_features, 100, mask_zero=True))Ĭlassifier.add(LSTM(200, dropout=0.3, recurrent_dropout=0.3, return_sequences=False))Ĭlassifier.add(Dense(1, activation='softmax'))Ĭpile(loss = 'sparse_categorical_crossentropy', optimizer='adam',metrics = ) This is my classifier, that I made using keras to do it with LSTM. Then as we need to tokenized our data to feed it into the embedding and LSTM layer, so I did it before splitting the data into train set and test set.
import math import pylab from matplotlib.pylab import import numpy as np import scipy.fftpack from scipy.io.wavfile import read w read ('c:/users/ggg.wav') anp.array (w 1) llen (a) from future import division b (l/w 0) b (float (l)/w 0) cb1000 dint (c/40) print d print l/d el/d for i in range (0,d): k 9np.array (a (ie)+1: ( (i+1)e)) print k. The dataset is twitter dataset, as it can contain mainly un-processed tweets, so I first processed the data, by cleaning the punctuations and un-used words or not-meaningful words. Setting an array element with a sequence python. Guys, I am making a Sentiment Analysis Classifier and now I am stuck with a problem called ValueError: setting an array element with a sequence.
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