I’m looking to scale values out of 100% based on the sample. My df contains the col Project that I’d like to group the col n by to normalize those values of n on a scale to 100%. library("dplyr") ex %>% dplyr::group_by(Project) %>% scale(n) -> perc For my provided data, I’d expect the output perc… Read More scale values in one column based on separate column
Which one is fastest in C to do the L1-norm? float x = fabsf(-3.0f); or float x = -1.0f * (-3.0f); ? Both return the number x = 3 >Solution : depends on the library used. Some use the x86 instruction "fabs" as in Apple’s fabfs implementation: #define __FABSF(x) \ ({ \ float __value, __arg… Read More Which one is fastest in C: fabsf(-3) or (-1)*(-3)?
I have the following Python script to view JSON data in normalized format for 10 rows: import pandas as pd from openpyxl.workbook import Workbook import csv from pathlib import Path from pandas.io.json import json_normalize import json from datetime import datetime from datetime import date from datetime import timedelta import psycopg2 from psycopg2 import OperationalError #… Read More How to export multiple or all JSON objects to CSV with Python?
I am training a convolutional neural network for binary time series classification. The training accuracy on both models is very different. If on the first it grows, then on the second it is always about 40%. There were also strong "jumps". Change filters=32/64/128 and epochs didn’t give the best results(kernel_size = 8). self.model = keras.Sequential([… Read More Deep learning CNN: low accuracy
I use this code to get a collection snapshot from Firestore. firestore().collection(‘project’).where(‘userID’, ‘==’, authStore.uid).onSnapshot(onResult, onError); This returns a huge amount of data, but I only need a few fields. Is it possible to query only a specific field? For example, if I only need the projectName and the creationDate fields. >Solution : Is it possible… Read More Query only specific field with firestore
I’ve been having lots of imports issues when it comes to TensorFlow and Keras and now I stumbled upon this error: TypeError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_17880/703187089.py in <module> 75 #model.compile(loss="categorical_crossentropy",optimizers.rmsprop(lr=0.0001),metrics=["accuracy"]) 76 —> 77 model.compile(optimizers.rmsprop_v2(lr=0.0001, decay=1e-6),loss="categorical_crossentropy",metrics=["accuracy"]) 78 79 STEP_SIZE_TRAIN=train_generator.n//train_generator.batch_size TypeError: ‘module’ object is not callable These are the imports: from tensorflow import keras from… Read More TypeError: 'module' object is not callable when using Keras
I have the following data: { "students": [ { "id": 1, "name": "Barbara" }, { "id": 2, "name": "Grace" }, { "id": 3, "name": "John" }, ], "assignments": [ { "id": 1, "name_id": 1, "assignment": "Mathematics", "assignment_difficulty": 3, "assignment_fun": 4 }, { "id": 2, "name_id": 1, "assignment": "Science", "assignment_difficulty": 3, "assignment_fun": 3 }, { "id":… Read More Get the average of rates per assignment
Want to plot normalised values in array but getting empty plot import numpy as np x_array = np.array([2,3,5,6,7,4,8,7,6]) normalized_arr = preprocessing.normalize([x_array]) print(normalized_arr) plt.plot(normalized_arr) plt.show() Empty plot – https://i.stack.imgur.com/NnSbI.png Is there function that can fill the empty plot with values? >Solution : You probably need to change your code into: import numpy as np import matplotlib.pyplot… Read More Emplty plot normalised values
There is a file named transforms.py, in it torchvision.transforms is imported and some custom transformations are defined. In another file named main.py, transforms.py is imported. Now, in order to use torchvision.transforms.Normalize in main.py without importing it, Will it work (Normalize is not used in transforms.py, only imported)? And if it works, what’s the reason behind… Read More Importing a library in one file and using it in another file, without importing
The type of my train_data is ‘Array of unit 16‘. The size is (96108,7,7). Therefore, there are 96108 images. The image is different from the general image. My image has a sensor of 7×7 and 49 pixels contain the number of detected lights. And one image is the number of light detected for 0 to… Read More How do I normalize the pixel value of an image to 0~1?
