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Questions tagged [python-3.x]

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SKLearn - Different Results B/w Default Linear Model and1st Order Polynomial Linear Model

SUMMARY I'm building a linear regression model using Scikit and noticing that the model "performance" (RMSE and max error, namely) varies depending on whether I use the default LR or whether ...
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13 views

How to Approach Linear Machine-Learning Model When Input Variables are Inconsistent

Disclaimer: I'm relatively new to the data science and ML world -- still trying to get a firm grasp on the fundamentals. I'm trying to overcome a regression challenge involving a large, multi-...
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How solved "ValueError: y should be a 1d array, got an array of shape () instead."?

...
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How to access dataframe created or upadted inside if statement outside? [closed]

A dataframe is created/updated isnide an if loop which itself is within a for loop. The DF need to be accessed outside the if statement. But outside the scope it is not updating. ...
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I need to plot only training curve in the fastai library using the learner.recorder.plot_losses() function . FASTAI devs pls help

I have a task where I need to only plot the training loss and not the validation loss of the plot_losses function in the fastai library with learner object having ...
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2 answers
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Create new rows based on a value in a column

My dateset is generated like the example df = {'event':['A','B','C','D'], 'budget':['123','433','1000','1299'], 'duration_days':['6','3','4','2']} I need ...
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RuntimeError: min(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument [migrated]

RuntimeError Traceback (most recent call last) /tmp/ipykernel_33/2056227650.py in ----> 1 learn.fit_one_cycle(n, max_learning_rate) 2 learn.recorder.plot_losses() /opt/...
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NameError: name 'Patch' is not defined (cant use fastai-1.0.61 object-detection-fastai-0.0.10)after (! [ -e /content ] && pip install -Uqq fastai)

The problem still persists even after kernel restart. (cant use fastai-1.0.61 object-detection-fastai-0.0.10)after (! [ -e /content ] && pip install -Uqq fastai) I have tried downgrading the ...
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24 views

Encode each comma separated value in Pandas

I have a dataset ...
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1 answer
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Categorical data preprocessing for training a algorithm

I have a training dataset where values of "Output" col is dependent on three columns (which are categorical [No ordering]). ...
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0 answers
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Tensorflow 2 Semantic Segmentation - loss function for two classes

I am trying to implement a U-net for semantic segmentation with two classes (foreground=1 and background=0) in the segmentation mask images, following this tutorial. They have used ...
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Multi-level timeseries forecasting? How to do it?

So, I just finished a 48 hr datathon, and I did terribly, to be honest. It was my first datathon. We were given a list of datasets: 5 months of taxi demand data (January to May) Weather dataset Zone ...
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Total number of columns (2446) exceeds max_columns . Falling back to pandas display in google colab

[![enter image description here][2]][2] please provide a solution
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Adding L2 regularization on top of pretrained EfficientNet model causes fluctuating validation accuracy and loss

I've built a model on top of pretrained EfficientNetB2 which would achive ~50% validation accuracy after 3-4 epochs and then would start to overfit. In order to counter that I added l2 regularization ...
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Orange Hangs After Geo Widget Install

I removed the latest Orange on my system along with all traces of Python. Then successfully installed Orange 3.18 (I'm looking for the original Geo module that drew circular clusters). However, when I ...
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Plot polar coordinates (2D) on a Poincáre Sphere surface as either heat map or scatter plot [closed]

I have a dataset with 4 values - amplitude, psi angle, chi angle and class (color). The psi angle and chi angle represent unique points on a . I want plot these psi and chi values on this sphere co-...
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How to train a Task Specific Knowledge Distillation model using Hugging face model

I was referring to this code: https://github.com/philschmid/knowledge-distillation-transformers-pytorch-sagemaker/blob/master/knowledge-distillation.ipynb From @philschmid I could follow most of the ...
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How to create recommendation systems that are suitable for deployment in production environment for an ecommerce giant?

I am making a recommendation model for an ecommerce client that has huge number of products of various categories. Product data set can be considered similar to that of Amazon. For now, I am starting ...
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How to save hugging face fine tuned model using pytorch and distributed training

I am fine tuning masked language model from XLM Roberta large on google machine specs. When I copy the model using gsutil and subprocess from container to GCP ...
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Write logs into excel sheet in sharepoint

I am trying to write data ("log" kind of data) onto an excel sheet in MS SharePoint. I have previous experience in writing onto google spreadsheets using python. However, I don't know how to ...
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How to use label smoothing for single label classification in hugging face models

I am training a binary class classification model using Roberta-xlm large model. I am using training data with hard labels as either ...
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How to do Image forecasting with set of images as timeseries?

I am working on a problem with a dataset of a disease that progress with time. I am given set of images that shows the disease progression equally spaced over 1 week time interval.I want to predict ...
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Attribute Error seaborn pairplot ticklabel rotation

I'm trying to generate a seaborn pairplot with the ticklabels roatated. My code is here: ...
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1 answer
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Predict continuous variable based on categorical columns mostly

I have a large dataset (40 mil rows, 50 columns) with mostly categorical columns (some of them are numerical) and I am using Python/Pandas. Categorical columns have up to 3000 unique labels. I am ...
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CodeReview: CycleGAN Implementation Using Keras FunctionalAPI

Okay So I Am Here Implementing the cyclegan architecture with using keras api from scratch. For Those who Wanna Know More About Cyclegan seehere The CycleGan Compose of Two Phase Architecture Like ...
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Reverse scaling Synthetic KDE data

For Python 3.9, sklearn version: 0.24.2 and numpy version: 1.20.3, I am using a Kernel Density Estimation (KDE) generative model. The goal is to generate new data using a given input data. The steps ...
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pandas fill NA based on merge with another dataframe

I already posted this here but since there is no response, I thought I will also post this here ...
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1 answer
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__init__() takes 1 positional argument but 4 were given sklearn standard scaler error

I defined a class like below: ...
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Importing data from python notebook

How to import data from .ipynb to .py file in vscode editor? I am not able to import array. Can anyone suggest some method so that I can import the array from .ipynb to .py.
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Variational Autoencoder - ValueError: No gradients provided for any variable (TensorFlow2.6)

I am implementing a toy Variational Autoencoder in TensorFlow 2.6, Python 3.9 for MNIST dataset. The code is: ...
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2 answers
148 views

Comparing distributions Python

I have a larger dataset (random variable) 'x' containing values approximating a Gaussian distribution. From 'x', a much smaller random variable 'y' is sampled without replacement. I want to compare ...
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Can KAMA (Kaufman Adaptive Moving Average) be used for extracting the moving average of numpy arrays?

I'm reading about KAMA algorithm and everywhere I see it's just adopted for stocks and trading kind of things. Since the algorithm looks perfect so I was planning to use this for averaging out a 1D ...
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317 views

Cannot test custom object detection model

I am using this tutorial: https://gilberttanner.com/blog/tensorflow-object-detection-with-tensorflow-2-creating-a-custom-model . I have trained the model but when I try to test it with this command: <...
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is there a way to compare two k-prototype models performance?

i try to understand which of my two k-prototype models to use both models contains the same categorical features one of the models contains a bit more numerical features in other words is there a ...
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Fail to decompose and make stationary time series

I am looking for some suggestions for my time series. I am dealing with the column "Temperature (C)" from this dataset. I am trying to make it stationary in order to do some forecasting on ...
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How can I change shape of the input image array as per my trained TensorFlow model input?

I have a Tensorflow model weight file that I am using to make the prediction on test images. These test images are in NumPy array format and the shapes of the images are (720, 1280, 3). I am getting ...
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How to integrate Zoho analytics with Jupyter notebook? [closed]

I am trying to connect Zoho Analytics and Python for importing data from Zoho Analytics. I have already installed !pip install zoho-analytics-connector. What should ...
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5 votes
2 answers
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Beginning my data science journey [duplicate]

I am a Master's student in physics. Lately I have been intrigued by the field of data science. I have beginner level knowledge of python, undergraduate level knowledge of mathematics and master's ...
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1 vote
1 answer
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I want to do sub groups in pandas data frame [closed]

I have a dataframe as below I want to do first group by trip_number and then subgroup by mode. ...
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0 answers
96 views

Create rows filling the sequence of numbers in a 'period column' and the 'value column' with 0 in python/pandas

I need to fill a dataframe with rows completing the values that the system doesn't show on the report (e. g. a week that the product had no sales): The report: Product Week Total_Sales 0 A 1 82 1 A ...
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Two-sided grubbs test KeyError: 355

I am trying to this two sided grubbs test by passing in a pandas.Series object and an appropriate alpha value. whenever I do the test on the whole dataset, I have ...
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Scaling columns pandas DataFrame

For a dataset having different numeric columns, they usually have different range and distributions. As an example, I have used the Iris dataset. The distributions of it's 4 columns are shown: My ...
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1 vote
1 answer
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Create Period column based on a date column where the first month is 1, second 2, etc

I have a dataset with many project's monthly expendituries (cost curve), like this one: Project Date Expenditure(USD) Project A 12-2020 500 Project A 01-2021 1257 Project A 02-2021 125889 Project ...
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2 votes
1 answer
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ValueError: Input 0 of layer conv2d is incompatible with the layer: expected axis -1 of input shape to have value 1 but received input with shape

I'm trying to create an auto-encoder based model for segmentation, which looks something like this: https://i.stack.imgur.com/4F3Z0.png I haven't added a single step, nor missed one as far as I ...
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1 vote
1 answer
60 views

Updating a genism LDA model with new documents and topics

I have a conceptual problem that is related to a project I'm working on. I'm relatively new to the domain of NLP so this might be a poor question but I would really appreciate any help. My dataset is ...
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381 views

Shap after scikit pipeline - feature name

I'm using pipeline to transform data and predict model and I want to apply SHAP after that. However, when I apply it, it returns SHAP chart just fine, but the name of the feature are like feature 1, ...
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1 vote
1 answer
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How can I get the dataframe after scikit pipeline?

I'm making many data transformations and fitting a model using scikit pipeline, but I need to extract X_train and X_test right after transformations (imputer, encoding, etc) in order to use it for ...
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2 votes
0 answers
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Does Anaconda does not yet support Python 3.9.x? [closed]

I have downloaded and installed Python 3.9.7 (the latest version to date) on my Windows. It is installed and working fine using command prompt or VS code. But Anaconda (I use Jupyter NB) still shows ...
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Find business vertical of a website just by its URL or cluster similar website by its url

I have been exploring this problem a lot about just using the website url to tag or cluster them as per their business domain. For example: ...
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1 vote
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109 views

Fuzzy Address Matching using Rapid Fuzz

I am using RapidFuzz for matching US Addresses from two separate datasets. I was able to get the results that I was hoping for using the below code: ...
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