kandi X-RAY | similarity Summary
kandi X-RAY | similarity Summary
Similarity is an image similarity search server built on top of Lire. The images can be filtered using a query and are afterwards optically ranked. Similarity provides an easy to use REST interface and returns the search results as XML. If you're familiar with Ruby and the RestClient gem, check out the following examples.
Top functions reviewed by kandi - BETA
- Performs an image search
- Search for images matching the specified image
- Performs post
- Creates an index
- Entry point for testing
- Return the document at index
similarity Key Features
similarity Examples and Code Snippets
Trending Discussions on similarity
I have 2 different JSON arrays displayed separately using a simple *ngFor loop on the same page. Ex-...
ANSWERAnswered 2021-Jun-13 at 22:00
You can achieve it using mouse enter leave events and keeping track of the active class
I would like to group keys in a dictionary based on their respective similarity. I want to look for similarity within different keys, and if they are similar enough, group them. Probably by using some sort of similarity score. I am thus specifically not interested in how they values within those dictionary match up (in the example below I kept them the same). I have been looking at similarity scores using sklearn cosine_similarity, but I could not find a way to apply this to keys in a dictionary. Anyone any clues on this?
I made a test dictionary to show what I mean. Some keys are very similar, and I would like to group those. How to group those is beyond the point now, but let's say I would like to add the numbers up.
As always, many thanks!...
ANSWERAnswered 2021-Jun-12 at 19:44
I have a need where I need to remove the semantic similarity string from a list of tuples.
Here is my input:...
ANSWERAnswered 2021-Jun-11 at 03:12
The simplest way, but maybe not optimal.
I am calculating the structure similarity profile between 2 moles using
rdkit. When I am running the program in google colab (
python=3.7) the program is working fine.
I am getting an error when I am running on my PC (
python=3.8.5). The error is a bit strange. The dataframe contains
500 rows and the code is working only for the first 10 rows (0-9) and for later rows I am getting an error
ANSWERAnswered 2021-Jun-09 at 05:40
To answer first on how to install a specific version of Rdkit, you can run this command:
I have two dataframes. df1['column'] has 70k unique text values. df2['column'] has 20 unique text values.
I want to find the closest synonym for all the 70k values by looking at the 20 values in df2['column']. and want an additional column in df1, which has the best synonym for that word.
I found a code where you could do semantic search and gives the top 5 synonyms with a score....
ANSWERAnswered 2021-Jun-04 at 15:02
Assuming we are adding a column called "Match" to
I'm doing a semantic search to find the closest synonym in two text columns, in two different dataframes.
The code is as below,...
ANSWERAnswered 2021-Jun-04 at 14:46
I've never used pytorch, but I'm assuming that you can just get the max score of each query, then print it out afterwards.
I'm trying to work out how to fix this ActiveMQ Artemis error.
Seems the occasional message is too big for
SimpleString, and isn't sending, and it goes to the DLQ.
ANSWERAnswered 2021-Jun-03 at 17:19
2.6.3.redhat-00015 version corresponds to AMQ 7.2.3 which is quite old at this point. The current AMQ release is 7.8.1. I strongly recommend you upgrade as it's likely you're hitting a bug that's already been fixed.
You may be able to work around the issue by increasing the minimum large message size (e.g using
minLargeMessageSize on core client URLs or
amqpMinLargeMessageSize on your AMQP
acceptor). For what it's worth, the stack-trace indicates that the core JMS client (i.e. not AMQP) is in use when the exception is thrown.
Lastly, it's worth noting that the default minimum large message size is 100 KB not 2 GB as explained in the documentation.
I am trying to use the DTW algorithm from the Similarity Measures library. However, I get hit with an error that states a 2-Dimensional Array is required. I am not sure I understand how to properly format the data, and the documentation is leaving me scratching my head.
According to the documentation the function takes two arguments (exp_data and num_data ) for the data set, which makes sense. What doesn't make sense to me is:
exp_data : array_like
Curve from your experimental data. exp_data is of (M, N) shape, where M is the number of data points, and N is the number of dimensions
This is the same for both the exp_data and num_data arguments.
So, for further clarification, let's say I am implementing the fastdtw library. It looks like this:...
ANSWERAnswered 2021-Jun-01 at 17:44
It appears the solution in my case was to include the index in the array. For example, if your data looks like this:
Scenario: Just created a simple book List app, which can accept some inputs and display it on the UI and has other functionalities such as the use of localStorage.
Just as I added more custom alerts (e.g. show alert - on adding a book, - if author name contain numbers etc.) The whole alert stuff has gone AWOL. (Previously defined alerts worked fine before)
Also none of the questions that showed similarity proved useful to me
Method which handles all the alerts in the page...
ANSWERAnswered 2021-May-31 at 15:49
The issue I notice with your
I have a list of floats that I want to compare to other lists and get the similarity ratio in python :
The list that I want to compare:...
ANSWERAnswered 2021-May-31 at 15:32
The question is no exactly clear in my oppinion, nevertheless you could see if the following approach helps you:
No vulnerabilities reported
You can use similarity like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the similarity component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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