generalised-signature-method | Generalised Signature Method for Time Series | Data Mining library
kandi X-RAY | generalised-signature-method Summary
kandi X-RAY | generalised-signature-method Summary
The signature method is a feature extraction technique for time series classification. Variations on the method exist as many authors have proposed modifications to it, so as to improve some aspect of it. Here, we introduce the generalised signature method that collates these variations together, gives an extensive overview of the literature to date, and groups them conceptually into:.
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Top functions reviewed by kandi - BETA
- Compute input size
- Prepare a window for use
- Calculate the number of disintegrations for given channels
- Return the indices of the channels
- Evaluate the trained model
- Compute probas and predict probabilities
- Return the number of parameters in the model
- Prepare a non - learner model
- Check if the classifier is sklearn
- Get training data
- Download data
- Compute the signature for each channel
- Set the parameter grid grid for the given model arguments
- Load dataset
- Forward computation
- Download dataset
- Compute the loss function
- Set the grid grid grid for the given model
- Apply an augmentation pipeline
- Create a FileStorageObserver
- Check if the given classifier is sklearn
- Train models
- Basic grid search
- Returns a dictionary with the benchmark results
- Convert all ARFF files in dataset
- Run the analysis
- Perform preprocessing
- Perform the forward computation
generalised-signature-method Key Features
generalised-signature-method Examples and Code Snippets
Community Discussions
Trending Discussions on Data Mining
QUESTION
I am working on Pima Indians Diabetes Database in Weka. I noticed that for decision tree J48 the tree is smaller as compared to the Random Tree. I am unable to understand why it is like this? Thank you.
...ANSWER
Answered 2022-Feb-21 at 19:57Though they both are decision trees, they employ different algorithms for constructing the tree, which will (most likely) give you a different outcome:
- J48 prunes the tree by default after it built its tree (Wikipedia).
- RandomTree (when using default parameters) inspects a maximum of
log2(num_attributes)attributes for generating splits.
QUESTION
I tried to extract keywords from a text. By using "en_core_sci_lg" model, I got a tuple type of phrases/words with some duplicates which I tried to remove from it. I tried deduplicate function for list and tuple, I only got fail. Can anyone help? I really appreciate it.
...ANSWER
Answered 2022-Feb-09 at 22:08doc.ents is not a list of strings. It is a list of Span objects. When you print one, it prints its contents, but they are indeed individual objects, which is why set doesn't see they are duplicates. The clue to that is there are no quote marks in your print statement. If those were strings, you'd see quotation marks.
You should try using doc.words instead of doc.ents. If that doesn't work for you, for some reason, you can do:
QUESTION
my code:
...ANSWER
Answered 2022-Jan-11 at 13:11Note: In new code use find_all() instead of old findAll() syntax - your html looks not valid
QUESTION
The website has 9 pages and my code just add the last page elements to the list. I want to add all elements for all pages next together in list.
...ANSWER
Answered 2022-Jan-10 at 08:27Code works well, but iterates to fast and elements your looking for are not present in the moment you try to find them.
How to fix?Use selenium waits to check if elements are present in the DOM:
QUESTION
I have the following dataset
...ANSWER
Answered 2021-Nov-07 at 19:11You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:
QUESTION
So I have the following dataset :
...ANSWER
Answered 2021-Nov-06 at 11:46You can split your data frame like this:
QUESTION
I have a pandas dataframe that is in the following format:
This contains the % change in stock prices each day for 3 companies MSFT, F and BAC.
I would like to use a OneClassSVM calculator to detect whether the data is an outlier or not. I have tried the following code, which I believe detects the rows which contain outliers.
...ANSWER
Answered 2021-Nov-04 at 09:28It's not very clear what is delta and df in your code. I am assuming they are the same data frame.
You can use the result from svm.predict , here we leave it as blank '' if not outlier:
QUESTION
I was doing a machine learning task in Weka and the dataset has 486 attributes. So, I wanted to do attribute selection using chi-square and it provides me ranked attributes like below:
Now, I also have a testing dataset and I have to make it compatible. But how can I reorder the test attributes in the same manner that can be compatible with the train set?
...ANSWER
Answered 2021-Oct-08 at 00:07Changing the order of attributes (e.g., when using the Ranker in conjunction with an attribute evaluator) will probably not have much influence on the performance of your classifier model (since all the attributes will stay in the dataset). Removing attributes, on the other hand, will more likely have an impact (for that, use subset evaluators).
If you want the ordering to get applied to the test set as well, then simply define your attribute selection search and evaluation schemes in the AttributeSelectedClassifier meta-classifier, instead of using the Attribute selection panel (that panel is more for exploration).
QUESTION
I need to split pdf files into their chapters. In each pdf, at the beginning of every chapter, I added the word "Hirfar" for which to look and split the text. Consider the following example:
...ANSWER
Answered 2021-Oct-06 at 16:10We may use regex lookaround
QUESTION
I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"
...ANSWER
Answered 2021-Aug-26 at 07:41to get the email id, use this :-
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install generalised-signature-method
dill==0.3.1.1
matplotlib==3.1.2
networkx==2.2
numpy==1.18.1
pandas==0.25.3
sacred==0.8.1
scipy==1.4.1
seaborn==0.9.0
six==1.14.0
skorch==0.7.0
sktime==0.3.1
torch==1.3.0
torchaudio==0.3.1
tqdm==4.41.1
signatory==1.1.6.1.3.0 [This must be installed after PyTorch]
pip install -r requirements.txt
pip install signatory==1.1.6.1.3.1 --no-cache-dir --force-reinstall (Signatory has to be installed after PyTorch, so it's done separately.)
cd $(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())")
printf "ROOT_DIR" > ./add_sources.pth where ROOT_DIR is something like /home/user/Documents/generalised-signature-method. See here for more instructions on how to do this.
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