decompose | Blind source separation based on the probabilistic tensor | Machine Learning library
kandi X-RAY | decompose Summary
kandi X-RAY | decompose Summary
Blind source separation based on the probabilistic tensor factorisation framework.
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- R T norm
- Compute the k - th tensor
- R Tensor norm
- R Compute all other
- Generate a random distribution
- Return the parameter information
- Fit the model to the given parameters
- Get the parameters from the given parameters
- Estimate transform estimator
- Construct an EstimatorSpec
- Sample from parameters
- Fit lomax parameters
- Return the product of two Normal distributions
- Calculate the LLH for the given parameters
- Create a new NnNormal from distributions
- Construct a Distribution from two Normal distributions
- Creates a new NnNormal from distributions
- Compute the PDF of the given parameters
- Prepare variables for training
- Fit the hyperparameters
- Compute the model
- Fit a tensorflow model
- Calculate the log - likelihood
- Construct an Estimator
- Update the model
- Prepare tensorflow variables
decompose Key Features
decompose Examples and Code Snippets
Lines of Code : 27License : Permissive (MIT)
Copyimport numpy as np
from sklearn.datasets import make_low_rank_matrix
from decompose.sklearn import DECOMPOSE
from decompose.distributions.cenNormal import CenNormal
# create a numpy array containing a synthetic low rank dataset
X = make_low_rank_m pip3 install git+https://github.com/bethgelab/decompose
Community Discussions
Trending Discussions on decompose
QUESTION
I have the following problem and I am wondering if there is a faster and cleaner implementation of the removeLastChar() function. Specifically, if one can already remove the last vowel without having to find the corresponding index first.
PROBLEM
Write a function that removes the last vowel in each word in a sentence.
Examples:
removeLastVowel("Those who dare to fail miserably can achieve greatly.")
"Thos wh dar t fal miserbly cn achiev gretly."
removeLastVowel("Love is a serious mental disease.")
"Lov s serios mentl diseas"
removeLastVowel("Get busy living or get busy dying.")
"Gt bsy livng r gt bsy dyng"
Notes: Vowels are: a, e, i, o, u (both upper and lowercase).
MY SOLUTION
A PSEUDOCODE
- Decompose the sentence
- For each word find the index of the last vowel
- Then remove it and make the new "word"
- Concatenate all the words
CODE
...ANSWER
Answered 2021-Jun-14 at 22:49This can be more easily achieved with a regex substitution that removes a vowel that's followed by zero or more consonants up to a word boundary:
QUESTION
Based on the guide Implementing PCA in Python, by Sebastian Raschka I am building the PCA algorithm from scratch for my research purpose. The class definition is:
...ANSWER
Answered 2021-Jun-11 at 12:52When calculating an eigenvector you may change its sign and the solution will also be a valid one.
So any PCA axis can be reversed and the solution will be valid.
Nevertheless, you may wish to impose a positive correlation of a PCA axis with one of the original variables in the dataset, inverting the axis if needed.
QUESTION
I tried to apply zeller's convergence simplified method to get day name from a user input date.
simplified algorithm from
...ANSWER
Answered 2021-Jun-08 at 19:21You need to fetch the data from the year variable twice, year @ 100 .... I think after that ?adaptday will work. There is forth word within \ n lo hi -- flag ; flag is True if lo <= n < hi for checking numbers within ranges,
In Forth it's unusual to use so many variables. The values are normally stored on the stack. j as a variable could override the j used as the outer do loop counter. I've seen k used for the next outer loop too!!
I'd implement it something like this. I can then run the words in the console with stack input to see what is happening to help debug.
QUESTION
I have a table with these columns:
...ANSWER
Answered 2021-Jun-02 at 19:34It only depends on person_id so you don't need to decompose the table.
And if name is an alternate key (that would be very strange) you could say that name is unique and again, you wouln't need to decompose your table.
QUESTION
I'm playing around with bs4 and I tried to scrape the following website:https://pythonbasics.org/selenium-get-html/ and I wanted to remove all of the script tags from html.
To remove script tags I used functions like:
...ANSWER
Answered 2021-May-25 at 18:52This is happening because some of the
QUESTION
Hint:
The expression s.charAt(i) returns the character at position i of the string s.
Test:
...ANSWER
Answered 2021-May-21 at 19:56You can use the .toCharArray() method for this.
Example
QUESTION
As title says, I want to transform the Freedom House Index from excel into tidy format in R. The FHI can be downloaded under https://freedomhouse.org/reports/publication-archives and then Country and Territory Ratings and Statuses, 1973-2021 and will look like this: FHI in excel
I have done it with the following code, but I think my solution is not very elegant and more like decompose and assamble. So I am looking for another solution, at best within the tidyverse. Thanks in advance.
...ANSWER
Answered 2021-May-25 at 11:52enter the magical world of tidyxl and unpivotr ;-)
QUESTION
I'm trying to implement the paper Integrated optimization of underwater acoustic ship-radiated noise recognition based on two-dimensional feature fusion.
My biggest problem is transforming .wav files to 2d arrays.
In the paper, it's mentioned
Each originally recorded signal in the database is framed using the hamming window of length 2048 with 50% overlap. With sampling frequency fs=52734 Hz, each sample lasts approximately 40 ms
and also
7 levels of WP decomposition with fourth-order Symlet wavelet is utilized to decompose each raw sample into 128 subbands.
I really appreciate any help in understanding and implementing this using Python.
...ANSWER
Answered 2021-May-21 at 14:06You can compute overlapping windows using librosa.utils.frame, with window_length=2048 and hop_length=1024 (50% overlap). The window function can be computed using librosa.filters.get_window with window="hamming"
Each window from the frame function you multiply by the window function. Then you can use pywt.wavedec with wavelet="sym" and level=7 to get the output for each frame. It should have 128 dimensions.
QUESTION
I am trying to search for emails in HTML elements. I want to run the code so that when there are no emails found in the HTML, to search in another element in the HTML and in the end if it is not found to set email as "N/A".
I am new to writing code and I am trying to do it for a training exercise for a project.
Here is what I came up with:
...ANSWER
Answered 2021-Apr-11 at 06:35Rather than going iteratively class by class, why not go top to bottom across the whole HTML irrespective of the class, and if you find an EMAIL, just store the EMAIL along with the class of the element in a dictionary. And then you can find email from the dictionary based on which class you want to check first.
QUESTION
I am using Beautiful Soup to scrape a website, and am having trouble using decompose() to remove a tag inside the section I'm scraping.
All products on the page have a price inside a
product-card__price. However, some products are discounted and contain two prices in this $) which precedes the current price.
...ANSWER
Answered 2021-May-12 at 19:20For getting full_price and price you don't have to .extract()/.decompose() the tag. All it needs is to use simple str.split():
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Decompose provides an interface that is similar to the interface of scikit-learn:.
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