UGM | Ubpa Graphics Mathematics | Graphics library
kandi X-RAY | UGM Summary
kandi X-RAY | UGM Summary
Ubpa Graphics Mathematics,Ubpa 图形数学库.
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QUESTION
I'm not good at machine learning. Can someone tell me how to doing text classification with pseudo labeling in python? I never know the right implementation, I have searched everywhere in internet, but I give up as found anything :'( I just found the implementation for numeric datasets, but I found no implementation for text classification (vectorized text).. So I wrote this syntax, but I don't know whether my code is correct or not. Am I doing wrong? Please help me guys, I really need your help.. :'(
This is my datasets if you wanna try. I want to classify 'Label' from 'Content'
My steps are:
- Split data 0.75 unlabeled, 0.25 labeled
- From 0.25 labeld I split: 0.75 train labeled, and 0.25 test labeled
- Make vectorizer for train, test and unlabeled datasets
- Build first model from train labeled, then labelling the unlabeled datasets
- Concatting train labeled data with prediction of unlabeled that have >0.99 (pseudolabeled), and make the second model
- Remove pseudolabeled from unabeled datasets
- Predict the remaining unlabeled from second model, then iterate step 3 until the probability of predicted pseudolabeled <0.99.
This is my code:
Performing pseudo labelling on text classification ...ANSWER
Answered 2021-Mar-08 at 15:46I'm not good at machine learning.
Overall I would say that you are quite good at Machine Learning: semi-supervised learning is an advanced type of problem and I think your solution is quite good. At least the general principle seems correct, but it's difficult to say for sure (I don't have time to analyze the code in detail sorry). A few comments:
- One thing which might be improvable is the 0.74 threshold: this value certainly depends on the data, so you could do your own experiment by trying different threshold values and selecting the one which works best with your data.
- Preferably it would be better to keep a final test set aside and use a separate validation set during the iterations. This would avoid the risk of data leakage.
- I'm not sure about the stop condition for the loop. It might be ok but it might be worth trying other options:
- Simply iterate a fixed number of times (for instance 10 times).
- The stop condition could be based on "no more F1-score improvement" (i.e. stabilization of the performance), but it's a bit more advanced.
It's pretty good anyway, my comments are just ideas if you want to improve further. Note that it's been a long time since I've work with semi-supervised, I'm not sure I remember everything very well ;)
QUESTION
package me.an.ugm;
import java.awt.EventQueue;
import javax.swing.JButton;
import javax.swing.JComboBox;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.JScrollPane;
import javax.swing.ScrollPaneConstants;
import javax.swing.UIManager;
public class Application
{
private JFrame frame;
public static void main(String[] args)
{
EventQueue.invokeLater(new Runnable()
{
public void run()
{
try
{
UIManager.setLookAndFeel(UIManager.getSystemLookAndFeelClassName());
Application window = new Application();
window.frame.setVisible(true);
} catch (Exception e)
{
e.printStackTrace();
}
}
});
}
public Application()
{
initialize();
}
private void initialize()
{
frame = new JFrame();
frame.setTitle("Application");
frame.setBounds(100, 100, 401, 450);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.getContentPane().setLayout(null);
//frame.setResizable(false);
frame.setLocationRelativeTo(null);
JPanel panel = new JPanel();
panel.setBounds(0, 0, 296, 710);
panel.setLayout(null);
JScrollPane scrollPane = new JScrollPane(panel, ScrollPaneConstants.VERTICAL_SCROLLBAR_ALWAYS, ScrollPaneConstants.HORIZONTAL_SCROLLBAR_NEVER);
scrollPane.setBounds(0, 0, 296, 399);
frame.getContentPane().add(scrollPane);
for (int i = 0, j = 10; i < 20; i++, j += 35)
{
JButton button1 = new JButton();
button1.setBounds(10, j, 25, 25);
panel.add(button1);
JComboBox selectorBox = new JComboBox<>();
selectorBox.setBounds(40, j, 200, 25);
panel.add(selectorBox);
JButton button2 = new JButton();
button2.setBounds(245, j, 25, 25);
panel.add(button2);
}
}
}
...ANSWER
Answered 2020-Dec-11 at 06:57The problem was not using the correct Swing layouts.
Here's the GUI I created.
I added text to the buttons and combo box, so the GUI would look more realistic. I commented out the look and feel to focus on the GUI. I changed the name of the class because I have one test package for all of the code I write for Stack Overflow.
I created the button JPanel in a separate method. I used a GridLayout. This allowed me to create 20 rows of 3 Swing components. This also allowed me to space out the components a bit.
I created the scroll JPanel in another separate method. The key was to use a BorderLayout for the scroll JPanel. I made the scroll JPanel half the size of the button JPanel so it would scroll. You can adjust this calculation however you wish.
Here's the complete runnable code.
QUESTION
I want to find nearest value from my data set. The first value is returning right data, but second value is returning last nearest data. For example if i have 7, 11, 12, 15, 17, 20
and i have parameter values is 10 it should return first nearst value = 11 and second nearest value = 12. But when i try, the second value is not 12 but 20. First value will give right return but the second nearest value will always show the last nearest value, not second nearest.
Here's my code:
...ANSWER
Answered 2019-Sep-02 at 04:07This will give you the nearest value
QUESTION
I'm having trouble loading data into a dataframe in the correct format.
The data I'm working with has the form:
...ANSWER
Answered 2019-Feb-22 at 17:24Try using pivot tables.
QUESTION
I have a dataset that needs to be resampled. To do so, I'll need to group it by day and at the same time, calculate the median value of each sensor. I'm using the window
function, but, it's only returning one sample.
Here is the dataset:
...ANSWER
Answered 2019-Feb-08 at 07:29I believe you do not need to use a Window
to achieve what you want. You would need this for example if you want to have some aggregation of the days before each given date. In your example, you could suffice with just parsing the datetime
column to date and using that in the groupBy
statement. A working example is given below, hope this helps!
QUESTION
I have four tables at the moment, users
, user_groups
, user_group_memberships
and user_group_permissions
. user_group_memberships
is used to link a users.id
to a user_groups.user_id
and user_group_permissions
is used to link members of a group to a list of permissions/rights.
I want to run a single query that gets an array of all groups from user_groups, and in the same query get the number of members in each group from user_group_memberships, then I would like to get the name of the user policy from user_group_permissions.
The query 'works' if every user_groups
has members in user_group_memberhips
and if every user_groups
record has a policy set in user_group_permissions
., but this will not return any groups that do not yet have member or a user policy assigned. Am I misunderstanding the handling if NULL
or my JOIN?
ANSWER
Answered 2018-Oct-11 at 12:22Your usage of Correlated subqueries is wrong. Also, to get the count of members, you dont need to use Subquery; you can use Group by
with Count()
.
Try:
QUESTION
I want to know how I can output concatenated string from multiple SQL CASE
expressions.
This is my query:
...ANSWER
Answered 2017-Dec-27 at 19:59Write a third CASE expression that checks the combinations you describe and assigns the appropriate value. In pseudocode:
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