2018-Tencent-Lookalike | 2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 | Data Mining library
kandi X-RAY | 2018-Tencent-Lookalike Summary
kandi X-RAY | 2018-Tencent-Lookalike Summary
2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)
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Top functions reviewed by kandi - BETA
- Fit a dataframe
- Fits the feature model
- Transform a single row of features into text format
- Transform pandas dataframe
- Replaces user feature data
- Log a time
- Fit the feature model
- Run LightGBM
- Downsampling
- Preprocess a list of words
- Train the LGBM model
- Merge a pandas dataframe
- Store result
- Log the shape of train and test data
- Transform rows into a Pandas DataFrame
2018-Tencent-Lookalike Key Features
2018-Tencent-Lookalike 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 2018-Tencent-Lookalike
You can use 2018-Tencent-Lookalike like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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