I'm attempting to do a grid search to optimize my model but it's taking far too long to execute. My total dataset is only about 15,000 observations with about 30-40 variables. I was successfully ab...

I want to implement a custom loss function in scikit learn. I use the following code snippet: def my_custom_loss_func(y_true,y_pred): diff3=max((abs(y_true-y_pred))*y_true) return diff3 score=m...

I'm currently trying to train a linear model using sklearn in python but not with mean squared error (MSE) as error measure - but with mean absolute error (MAE). I specificially need a linear model...

The title says it all. When you are working R and using RStudio, its really easy and simple to debug something by dropping a browser() call anywhere in your code and seeing what goes wrong. Is ther...

I am installing layout-parser and following this link. Did not face any issues with the following packages.   pip install layoutparser pip install "layoutparser[effdet]" pip install lay...

I'm using Python and I need to split my .csv imported data in two parts, a training and test set, E.G 70% training and 30% test. I keep getting various errors, such as 'list' object is not callab...

Suppose i have the data frame below: I checked the documentation but it's only based on a single column. Reproducible code: x = np.random.normal(100,5,100) data = pd.DataFrame(x) epsilon = 10...

I am not able to access jupyter lab created on google cloud I created one notebook using Google AI platform. I was able to start it and work but suddenly it stopped and I am not able to start it n...

I am currently performing multi class SVM with linear kernel using python's scikit library. The sample training data and testing data are as given below: Model data: x = [[20,32,45,33,32,44,0],[...

I'm trying to build a neural network to predict per-capita-income for counties in US based on the education level of their citizens. X and y have the same dtype (I have checked this) but I'm gettin...

I want to use langchain for my project. so I installed it using following command : pip install langchain but While importing "langchain" I am facing following Error: File /usr/lib/python...

I would like to update previous runs done with MLFlow, ie. changing/updating a parameter value to accommodate a change in the implementation. Typical uses cases: Log runs using a parameter A, and ...

I have written a simple function where I am using the average_precision_score from scikit-learn to compute average precision. My Code: def compute_average_precision(predictions, gold): gold_predic...

I am training a tensorflow keras sequential model on around 20+ GB text based categorical data in a postgres db and i need to give class weights to the model. Here is what i am doing. class_weight...

I have a big doubt... is see a lot of blog posts where they say that you can use the Colab front-end to edit a local Jupiter Notebook However I don't see the point... the actual advantage would be ...

I need to obtain the type for each column to properly preprocess it. Currently I do this via the following method: import pandas as pd # input is of type List[List[any]] # but has one type (int...

libraries im using import pixellib from pixellib.instance import instance_segmentation import cv2 import matplotlib.pyplot as plt the script: segment_image = instance_segmentation() segment_image....

Hello everyone on Stack Overflow. Today, I would like to ask something very different question. I am currently working as a data scientist, and I work alot on JupyterLab/Notebook. Couple of my co...

I'm trying to use StratifiedKFold to create train/test/val splits for use in a non-sklearn machine learning work flow. So, the DataFrame needs to be split and then stay that way. I'm trying to do ...

I have been experimenting trying to solve it for weeks. I am using Google Colaboratory since I got a MacBook Pro with an Apple chip that is not supported by TensorFlow. Here is the Google Col...

I am totally new to Machine Learning and I have been working with unsupervised learning technique. Image shows my sample Data(After all Cleaning) Screenshot : Sample Data I have this two Pipline bu...

I have a daily time series dataset that I am using Python SARIMAX method to predict for future. But I do not know how to write codes in python that accounts for multiple seasonalities. As far as I ...

I am a beginner and getting familiar with pandas . It is throwing an error , When I was trying to create a new column this way : drinks['total_servings'] = drinks.loc[: ,'beer_servings':'wine_servi...

I have a dataframe that contains user_id date browser conversion test sex age country 1 2015-12-03 IE 1 0 M 32.0 US Here is my code: from sklearn import tree data['date'] = pd.to_datetime(data.da...

I'm using Pipeline and ColumnTransformer modules from sklearn library to perform feature engineering on my dataset. The dataset initially looks like this: date date_block_num shop_id item_id it...