For a set of 20 bandwidth values, equally spaced between 0.01 and 1, fit a kernel regression to the training points and predict the regression function at the test x points. Evaluate its test error, measured in terms of squared error loss to the test y points. Hence, you will have a curve of 20 ..
This code causes python to crash. Then when I run it again, I get this error: "Error: Session cannot generate requests." I try restarting the kernel but it just never recovers. I have to close VS Code and reopen it to run code again. What is causing this? import turtle import random as r for ..
I want to restart kernel in command line in Python jupternotebook and this code works well Restart ipython Kernel with a command from a cell import os os._exit(00) However, there is a pop up message like this which I need to click – Is there a code to avoid this manual code for clicking? Source: ..
Any problem can be solved reproducing Kernel Hilbert space F induced by non-linear mapping varphi : Rd –> Rd’ . for proper varphi, an inner product on F using Mercer Kernel can be defined as varphi(x), varphi(y)i = K(x, y), where K(., .) is a positive semi-definite Kernel function We can apply the transformation matrix ..
I installed Anaconda, and created a second environment (i.e. vamp_env) to run my script in Python 3.6. I build my script a couple of years ago using Python 3.6, and older versions of the packages listed below. I used my script on numerous occasions, it runs well however only with the package versions listed below. ..
I updated my Spyder today to Spyder 5.1, and now it keeps showing me this error message: Your Python environment or installation doesn’t have the spyder‑kernels module or the right version of it installed (>= 2.1.0 and < 2.2.0). Without this module is not possible for Spyder to create a console for you. You can ..
I have a trained model called model. I try to generate an optimized version of it using the following code: from tensorflow.python.compiler.tensorrt import trt_convert as trt params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(precision_mode=’FP16′, is_dynamic_op=True) converter = trt.TrtGraphConverterV2(input_saved_model_dir=’model’,conversion_params=params) #converter.convert() When the code reach the line trt.TrtGraphConverterV2 the kernel get killed and I get the message of restarting the kernel automatically. ..
I’m trying to implement a neuron model with Hodgkin and Huxley formalism on my RTX 2080 Ti with PyCuda. The code is quite large so I wont put all of it here. the first part of my class is to set the number of neurons, create all variables in the GPU and get the block ..
I have this code in python which is creating an SVM using different kernels: from sklearn.svm import SVC from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score, roc_auc_score X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3) # The gamma parameter is the kernel coefficient for kernels rbf/poly/sigmoid svm = SVC(gamma=’auto’, probability=True) svm.fit(X_train,y_train.values.ravel()) prediction = ..
I am trying to prompt the user for selecting an option from a finite list of options. I tried using inquirer.List(). The inquirer module seems to work fine on my windows shell but it does not work with Jupyter Notebook. On running the cell with questions = [inquirer.List(‘regression_model’, message = ‘Select the best Regression Model ..