I want to run a programme in python (it’s a machine learning model that generates heatmaps for images and then feeds them into a resnet model to create pseudo-class labels). I’m using a github and managed to run the whole program on the github’s dataset but now I’m trying to feed the model my own ..
Pretty new to machine learning, so forgive me if this is question isn’t framed in the right terminology. I’ll do my best to make the logic of the question clear using a simple case. Say I have dataset #1, which has cases distinguishable on one of two potential outcomes A vs B. Each case has ..
I have a json data file that I have converted to the DataFrame. The link of whole data is as following. https://www.dropbox.com/sh/ovpetq7vu8lqi90/AABaT1aJpk47tYs5jEnPzmYTa?dl=0 I want to apply K_mean for clustering the customers. I did all the step below but my accuracy is very low. I really don’t know how to solve it. maybe my problem is ..
Iam using lstm model for multiclass text classification. When tested on colab i got almost correct classes. But when i trained and saved model in the system, and when it tested it is showing same class always. for training in the system i used this code (model.py): import nltk nltk.download(‘punkt’) import tensorflow as tf import ..
I am working on a program regarding temperature measurements. I have a sensor that measures the temperature. However, this sensor does not deliver measurements always exactly at a given time, and sometimes it can skip. The gap between measurements can vary much, as it’s basically just random measurements of temperature coming in. I need to ..
I have ML model which I would like to create simple UI for it. This UI serves from web app and there is one button for deploy CSV and extract button for getting results. Is there any SaaS or application for this purpose? I mean creating UI for ML model. Also I am glad to ..
I am running confusion matrix on my own custom model using Tensorflow Object Detection API. I am using Faster R-CNN Inception v2 pets. I get this output: Processed 100 images Processed 200 images Processed 300 images Processed 400 images Processed 500 images Processed 500 images Confusion Matrix: [[1281. 233.] [ 581. 0.]] category [email protected] [email protected] ..
I am able to show my box plots with a loop but they don’t have a color yet for i, numeric_feature in enumerate(numeric_features): box_plot = df.boxplot(vert=False, by=’Produktgruppe’, column=numeric_feature, figsize=(10,12), grid=False) plt.title("Figure " + str(i+1) + ": " + numeric_feature + " je Produktgruppe") plt.suptitle(”) Currently look like this: I want to have it like this: ..
I am trying to build an AI model which can automatically generate new test cases from the requirements and existing test cases. Requirements will be fed from web scraped data. I read that NLP can be used for this but I could not find any implementation example. Test cases are part of system testing(behavioral testing) ..
I am doing a Multi-class Text Classification. However, I have data that are repeating in the dataset. However, these are not duplicates, as they belong to different classes. The data is valid, these two classes are close to each other, The repeated text training data is not of the same class, but of diff classes ..