![]() ValueError: setting an array element with a sequence. you convert wyjscie to a list, but this list will be a nested list because original dim is 2d. ![]() Sample graph of 10 nodes with weighted edge matrix. H is a numpy-array with dtypefloat as its default. What is CVXPY¶ CVXPY is a Python-embedded modeling language for convex optimization problems. > 83 return array(a, dtype, copy=False, order=order) When I try to convert the node locations to a grid number with an expression and try to use the elements of the expression vector as an array index ( so that I can sum up all node weights in that grid cell), CVXPY does not seem to work. ![]() ~\AppData\Roaming\Python\Python37\site-packages\numpy\core\_asarray.py in asarray(a, dtype, order) > 98 trunc = np.asarray(trunc, dtype=dtype)ġ00 raise ValueError('Shape of sample %s of sequence at position %s ' Update: we should check to make sure that with cvxpy Expressions of constant value behaves in the same way as with numpy ndarrays of higher dimensions.Reason being: and np.dot behave differently for higher-dimensional arrays, and the original implementation of matmul in cvxpy might boil down to numpy's dot function, rather than the actual matmul function. ~\AppData\Roaming\Python\Python37\site-packages\keras_preprocessing\sequence.py in pad_sequences(sequences, maxlen, dtype, padding, truncating, value) The vast majority of users will need only. CVXPY has seven types of constraints: non-positive, equality or zero, positive semidefinite, second-order cone, exponential cone, 3-dimensional power cones, and N-dimensional power cones. numpy creating numpy array using zeros numpy fill with 0 numpy index array all. You can also try 'cheating' and taking a CVXPY expression and loading it elementwise into a numpy object array. > 158 padding=padding, truncating=truncating, value=value) A constraint is an equality or inequality that restricts the domain of an optimization problem. De 2022 This function checks if there is any element in the array that is. You do have the functions in at your disposal. ~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\keras\preprocessing\sequence.py in pad_sequences(sequences, maxlen, dtype, padding, truncating, value)ġ57 sequences, maxlen=maxlen, dtype=dtype, > 4 input_padding = tf._sequences(inputList, maxlen = 100, dtype='float32', padding='post')ĥ stopper = tf.(monitor='loss', patience=3)Ħ history = rnnModel.fit(x=input_padding, y=labelList, batch_size = 1000, epochs = 100, verbose = 2, callbacks =, validation_split = 0.2) ValueError Traceback (most recent call last)Ģ inputList = np.asarray(train_())ģ labelList = np.asarray(train_()) The above exception was the direct cause of the following exception: TypeError: only size-1 arrays can be converted to Python scalars TypeError Traceback (most recent call last) Your model is expecting an array while you are sending a sequence/list. Stopper = tf.(monitor='loss', patience=3) Input_padding = tf._sequences(, maxlen = 100, dtype='float32', padding='post') train_df2 = train_df2.sample(frac = 1).reset_index(drop = True) import cvxpy as cp import numpy as np Problem data. I tried to solve a convex problem with cvxpy as below. Train_df2 is formatted like this (shows only one row) ValueError: setting an array element with a sequence in CVXPY minimize function. ![]() It's great when you look for code, probably I do something stupid and.but there is line czest = (czest 1) and it works well.I am just confused why the code below is giving me a value error and saying that setting a pad_sequences parameter to a sequence gives of an error when the documentation says that a sequence is indeed required. Trying to repair checked about change the 'wyjscie' from array to list. Gives me error ValueError: setting an array element with a sequence. Wyjscie = np.around(probc * nobins)Īnd this line(yeah last :C) : H = wyjscie 1] In my code, I have 1 feature (1 column in the data table), and each entry in a column is a numpy array. I'm not sure what i did wrong with this code: import cv2Ĭzest = (czest 1) ![]()
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