Precision, Recall and F1 with Sklearn for a Multiclass problem Question: I have a Multiclass problem, where 0 is my negative class and 1 and 2 are positive. Check the following code: import numpy as np from sklearn.metrics import confusion_matrix from sklearn.metrics import ConfusionMatrixDisplay from sklearn.metrics import f1_score from sklearn.metrics import precision_score from sklearn.metrics import …
Tensorflow: External calculation of dice coef on validation set different than my Unet's validation dice coef with same data set Question: So I am training a variation of a Unet style network in Tensorflow for a problem I am trying to solve. I have noticed an interesting pattern / error that I am unable to …
How can I create custom metrics in Cloud Monitoring using existing Logs entries? Question: I have a Python based microservice where Cloud Api Python SDK is used to create and record custom metrics, code is shown below. from google.api import label_pb2 as ga_label from google.api import metric_pb2 as ga_metric from google.cloud import monitoring_v3 client = …
Sum of root of difference squared Question: I am trying to figure out a formula in a code that I am trying to run. Can you help me to know what they are trying to measure here? it seems a kind of evaluation metric that is similar to Euclidean distance but with minor changes. I …
Analyzing keras model w.r.t a specific feature Question: I have a dataset that consists of different features, like "gender". The task of the model is to determine if the annual income is above or below 50k. It is the "Adult income dataset" from: https://www.kaggle.com/datasets/wenruliu/adult-income-dataset Let say I have a trained network that does the classification. …
How can i match bounding box coordinates for grount-truth and predicted part? Question: I worked on a model. and I have 100 bounding boxes for gt and predicted parts. I would like to calculate iou score for each. But I cannot do this directly, because of the orders. Order of coordinates of bounding boxes are …
Xie-Beni Index: Clusters-Features 1.0.3 python library unavailable in pip install Question: I am trying to use ‘Xie-Beni Index’ from the Clusters-Features library available here: https://pypi.org/project/Clusters-Features/ through the following code: pip install Clusters-Features However, I am getting the following error. Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/ ERROR: Could not find a version that satisfies the requirement Clusters-Features==1.0.2 …
Is there a Python function to compute minimal L2 norm between 2 matrices up to column permutation? Question: I have two sets of column vectors X = (X_1 … X_n), Y = (Y_1 … Y_n) of same shape. I would like to compute something like this: i.e the minimal L2 norm between X and Y …
In keras/Tensorflow, How to make a custom metric of TruePositives minus FalsePositives (TP-FP)? Question: I know there is tf.keras.metrics.Precision(),tf.keras.metrics.TruePositives(), tf.keras.metrics.FalsePositives().But how to implement the output of these built in metrics in a custom metric function? here is my working code: import tensorflow_addons as tfa import tensorflow as tf import autokeras as ak def f1_loss(y_true, y_pred): …
How to get iou of single class in keras semantic segmentation? Question: I am using the Image segmentation guide by fchollet to perform semantic segmentation. I have attempted modifying the guide to suit my dataset by labelling the 8-bit img mask values into 1 and 2 like in the Oxford Pets dataset. (which will be …
