AML | money laundering framework based on the paper
kandi X-RAY | AML Summary
kandi X-RAY | AML Summary
** AML Framework **. Copyright 2019 Reza Soltani Licensed under the Apache License, Version 2.0. Implementation of 'A new algorithm for money laundering detection based on structural similarity' paper. Reza Soltani, Uyen Trang Nguyen, Yang Yang, Mohammad Faghani, Alaa Yagoub and Aijun An, "A new algorithm for money laundering detection based on structural similarity," 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, 2016, pp. 1-7. doi: 10.1109/UEMCON.2016.7777919 keywords: {financial data processing;globalisation;money laundering detection;structural similarity;financial transactions;global market;money laundering transactions;financial data;ML activities;ML groups;Receivers;Topology;Clustering methods;Government;Clustering algorithms;Network topology;Money laundering;money laundering detection;graph theory;structural similarity}, URL: This is a Java Maven Project Tested on JavaSE 1.7 Running App.Java Main Method generates simulation data, read the simulated data and performs the algorithm. This project relies on an embedded version of Neo4j Graph Database. ** List of Important Files **.
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Top functions reviewed by kandi - BETA
- Main entry point for the AML framework
- Generate random data
- Reads all transactions from a file
- Read nodes from a file
- Removes a directory
- Sort map by value
- Generate a random number between 0 inclusive inclusive
- Register a shutdown hook
- Returns a string representation of this transaction
- Returns a string representation of this attribute
AML Key Features
AML Examples and Code Snippets
Community Discussions
Trending Discussions on AML
QUESTION
I follow the official tutotial from microsoft: https://docs.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-score-model-predict-spark-pool
When I execute:
...ANSWER
Answered 2022-Mar-30 at 05:28As per the repro from my end, the above code which you have shared works as excepted and I don't see any error message which you are experiencing.
I had even tested the same code on the newly created Apache spark 3.1 runtime and it works as expected.
I would request you to create a new cluster and see if you are able to run the above code.
QUESTION
I follow the official tutotial from microsoft: https://docs.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-score-model-predict-spark-pool
But when I execute:
...ANSWER
Answered 2022-Mar-29 at 07:54(UPDATE:29/3/2022): You will experiencing this error message if you model does not contains all the required files in the ML model.
As per the repro, I had created two ML models named:
sklearn_regression_model: Which contains only
sklearn_regression_model.pkl
file.
When I predict for MLFLOW packaged model named
sklearn_regression_model
, getting same error as shown above:
linear_regression: Which contains the below files:
When I predict for MLFLOW packaged model named
linear_regression
, it works as excepted.
It should be AML_MODEL_URI = "" #In URI ":x" =>
Rossman_Sales:2
Before running this script, update it with the URI for ADLS Gen2 data file along with model output return data type and ADLS/AML URI for the model file.
QUESTION
How to install php extension for tidy html on a beanstalk with amazon linux 2?
I have tried the following
...ANSWER
Answered 2022-Feb-07 at 05:51You cannot pull a single package/extension from "remi" repository, you must take the full stack from the same repository.
For a proper configuration, simply follow the Wizard instructions.
QUESTION
I need some help with Ansible variables.
...ANSWER
Answered 2022-Mar-18 at 19:50You need the vars
lookup in order to find a variable named as the string contained in the variable inputvalue
:
QUESTION
I'm trying to build a Azure Devops pipeline and ran into this error during the run stage. Can you please help me solve this issue? Thank you
There was a resource authorization issue:
The pipeline is not valid. Job Build_Scoring_image: Step buildscoringimage input connectedServiceNameARM references service connection aml-workspace-connection which could not be found. The service connection does not exist or has not been authorized for use. For authorization details, refer to https://aka.ms/yamlauthz. Job Deploy_to_Staging: Step input kubernetesServiceConnection references service connection mlops-aks which could not be found. The service connection does not exist or has not been authorized for use. For authorization details, refer to https://aka.ms/yamlauthz.
I clicked 'authorize resources' next to the error and it still failed.
...ANSWER
Answered 2022-Mar-03 at 06:39We suppose that your issue is could be resolved by re-configure your service connection in Project Setting.
And your service connection would be available again in pipelines.
QUESTION
I want to add a new line and confidence band to a survival analysis plot (Kaplan-Meier curve) created using autoplot
from the ggfortify
package.
However, I receive an error when using geom_ribbon
but not when using geom_line
. The minimal example below illustrates the issue.
ANSWER
Answered 2022-Feb-21 at 04:16If you specify inherit.aes = FALSE
in geom_ribbon()
you avoid that specific error, i.e.
QUESTION
I am new to R so no idea about the code. I have two data frames. One dataframe looks like this.
df ID Disease GSM239170 Control GSM239323 Control GSM239324 Control GSM239326 Control GSM239328 AML GSM239329 AML GSM239331 AML GSM239332 Control GSM239333 ControlAnd the other dataframe looks like this:
df1 GSM239170 GSM239323 GSM239324 GSM239326 GSM239328 GSM239329 GSM239331 GSM239332 GSM239333 3.016704177 3.285669072 2.929482692 2.922820483 3.15950317 3.163327169 2.985901308 3.122708843 3.070948463 7.977735461 6.532514237 6.388007183 6.466679556 6.432795021 6.407321524 6.426470803 6.376394357 6.469070308 4.207280707 4.994965767 4.40159671 4.747114589 4.830045513 4.213762092 4.884418365 4.4318876 4.849665444 7.25609471 7.420807337 6.999340125 7.094488581 7.024332721 7.17928981 7.159898654 7.009977785 6.830979234 2.204955099 2.331625217 2.133305231 2.18332885 2.12778313 2.269697813 2.264705552 2.253940441 2.287924323 7.28437278 6.983593721 6.86337111 6.865970678 7.219840938 7.181113053 7.392230178 7.484052914 7.52498281 4.265792764 4.970684112 4.595545125 4.575545289 4.547957809 4.68215122 4.674495889 4.675841709 4.643311767 2.6943516 2.916324936 2.578130269 2.659717988 2.567436676 2.8095128 2.790110381 2.795882913 2.884588792 3.646303109 8.817891552 11.4248793 10.74738082 9.296043108 9.53150669 8.285160496 9.769919327 9.774610531 3.040292001 3.38486713 2.958851115 3.047880699 2.878562717 3.209319974 3.20260379 3.195993624 3.3004227 2.357625231 2.444753172 2.340767158 2.32143889 2.282608342 2.401218719 2.385568421 2.375334953 2.432634747 5.378494673 6.065038394 5.134842087 5.367342376 5.682051149 5.712072512 5.57179966 5.72082395 5.656674512 2.833814735 3.038434511 2.837711812 2.859800224 2.866040813 2.969167906 2.929449968 2.963530689 2.931065261 6.192932281 6.478439634 6.180169144 6.151689376 6.238949956 6.708196123 6.441437631 6.448280595 6.413562269 4.543042482 4.786227217 4.445131477 4.51471011 4.491645167 4.460114204 4.602482637 4.587221948 4.623125028 6.069437462 6.232738284 6.74644117 7.04995802 6.938928532 6.348253102 6.080950712 6.324619355 6.472893789I want to make a table to include mean_AML, sd_AML (standard deviation), min_AML, max_AML, mean_Control, sd_Control, min_Control, max_Control, and Fold_change (i.e, mean_AML – mean_Control) for each gene. It is fine to use built-in functions.
Can't figure out the way how I can do this. Please help.
Thanks.
--- UPDATE ---Hints: split the dataset into AML data and normal data sets, and then for each gene/probeset, calculate its mean, standard derivation, min and max expression values across samples separately (using a built-in function), and further merge these statistical values for each gene into one table. Apply data.frame() and give the created table the same row names as the gene expression data table.
...ANSWER
Answered 2022-Jan-20 at 20:24We could combine pivot_longer
with right_join
and then use summarise
on the group:
QUESTION
New to R so no idea about it. I have a data of 64 samples (AML disease vs Control) and 22283 genes expression value of each sample. The data looks like this.
GSM239170 GSM239323 GSM239324 GSM239326 GSM239328 GSM239329 GSM239331 GSM239332 GSM239333 3.016704177 3.285669072 2.929482692 2.922820483 3.15950317 3.163327169 2.985901308 3.122708843 3.070948463 7.977735461 6.532514237 6.388007183 6.466679556 6.432795021 6.407321524 6.426470803 6.376394357 6.469070308 4.207280707 4.994965767 4.40159671 4.747114589 4.830045513 4.213762092 4.884418365 4.4318876 4.849665444 7.25609471 7.420807337 6.999340125 7.094488581 7.024332721 7.17928981 7.159898654 7.009977785 6.830979234 2.204955099 2.331625217 2.133305231 2.18332885 2.12778313 2.269697813 2.264705552 2.253940441 2.287924323 7.28437278 6.983593721 6.86337111 6.865970678 7.219840938 7.181113053 7.392230178 7.484052914 7.52498281 4.265792764 4.970684112 4.595545125 4.575545289 4.547957809 4.68215122 4.674495889 4.675841709 4.643311767 2.6943516 2.916324936 2.578130269 2.659717988 2.567436676 2.8095128 2.790110381 2.795882913 2.884588792 3.646303109 8.817891552 11.4248793 10.74738082 9.296043108 9.53150669 8.285160496 9.769919327 9.774610531 3.040292001 3.38486713 2.958851115 3.047880699 2.878562717 3.209319974 3.20260379 3.195993624 3.3004227 2.357625231 2.444753172 2.340767158 2.32143889 2.282608342 2.401218719 2.385568421 2.375334953 2.432634747 5.378494673 6.065038394 5.134842087 5.367342376 5.682051149 5.712072512 5.57179966 5.72082395 5.656674512 2.833814735 3.038434511 2.837711812 2.859800224 2.866040813 2.969167906 2.929449968 2.963530689 2.931065261 6.192932281 6.478439634 6.180169144 6.151689376 6.238949956 6.708196123 6.441437631 6.448280595 6.413562269 4.543042482 4.786227217 4.445131477 4.51471011 4.491645167 4.460114204 4.602482637 4.587221948 4.623125028 6.069437462 6.232738284 6.74644117 7.04995802 6.938928532 6.348253102 6.080950712 6.324619355 6.472893789Where (GSM239170, GSM239323, GSM239324, GSM239332, GSM239333) are AML samples and (GSM239326, GSM239328, GSM239329, GSM239331) are Control samples. I want to make a Boxplot of gene expression for all the samples, marking data points in red for AML samples and blue for Control samples.
I tried the following code, but got the error.
...ANSWER
Answered 2022-Jan-20 at 19:21You can achieve this by pivoting your data, recoding in a new variable and ploting. I'm doing this example with the tidyverse
collection of packages (tidyr, dplyr, ggplot2, etc).
First we load the packages and I'm creating a temporal dataset for this example. You can apply this to your own data.
Let's say I have a dataset with four columns.
QUESTION
I've created an AML Pipeline with a single DatabricksStep. I've need to pass a parameter to the Databricks notebook when I run the published pipeline.
When I run the published pipeline, the Databricks steps always take the default value of the PipelineParameter, no matter what value I choose when I submit the pipeline.
Here the code:
...ANSWER
Answered 2022-Jan-20 at 08:51I've found the solution of the problem. I hope it can be of help to someone. It works if you set all the parameter name and widget name in lower case.
QUESTION
I've tried several articles and threads from Stackoverflow but can't seem to get anywhere. I am trying to take a variable from a .py file which is called in a YAML step and set that variable globally to be used.
In my .py file i have
...ANSWER
Answered 2021-Sep-08 at 05:24- You don't need
isOutput=true
- that's only needed for referencing variables between different jobs or stages. - "You cannot use the variable in the step that it is defined." - split that script into two steps: one that runs your
.py
file, second one that uses the newly defined variable.
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Vulnerabilities
No vulnerabilities reported
Install AML
You can use AML 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 AML 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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