The Y array in your screenshot is not a 1D array, it’s a 2D array with 300 rows and 1 column, as indicated by its shape being (300, 1). To remove the extra dimension, you can slice the array as Y[:, 0]. To generally convert an n-dimensional array to 1D, you can use np.reshape(a, a.size). Another option for converting a 2D array … Read more
You should write the pickled data with a lower protocol number in Python 3. Python 3 introduced a new protocol with the number 3 (and uses it as default), so switch back to a value of 2 which can be read by Python 2. Check the protocolparameter in pickle.dump. Your resulting code will look like this. There is no protocolparameter in pickle.load because pickle can determine … Read more
You should write the pickled data with a lower protocol number in Python 3. Python 3 introduced a new protocol with the number 3 (and uses it as default), so switch back to a value of 2 which can be read by Python 2. Check the protocolparameter in pickle.dump. Your resulting code will look like this. There is no protocolparameter in pickle.load because pickle can determine … Read more
hello i am new to sklearn in python and iam trying to learn it and use this module to predict some numbers based on two features here is the error i am getting: ValueError: only 2 non-keyword arguments accepted and here is my code:
This particular error implies that one of the variables being used in the arithmetic on the line has a shape incompatible with another on the same line (i.e., both different and non-scalar). Since n and the output of np.add.reduce() are both scalars, this implies that the problem lies with xm and ym, the two of which are simply your x and y inputs minus their respective … Read more
This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria. EDIT: How could I miss that: is obviously wrong. Right would be: and You … Read more
This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria. EDIT: How could I miss that: is obviously wrong. Right would be: and You … Read more
This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria. EDIT: How could I miss that: is obviously wrong. Right would be: and
I’ve seen other posts talking about this but anyone of these can help me. I am using jupyter notebook with Python 3.6.0 on windows x6 machine. I have a large dataset but I keep only a piece of it to run my models: This is a piece of code that i used: When I run … Read more
I am trying to merge arrays like this: If: Then the result should be: what I do is that extract histogram of array and merge it with normal array. and maybe that cause the error like this ValueError: operands could not be broadcast together with shapes (5,) (30,) please help me. I don’t know what … Read more