rgr | Researcher Gene Registry. Originally developed | Genomics library
kandi X-RAY | rgr Summary
kandi X-RAY | rgr Summary
Researcher Gene Registry. Originally developed for the Canadian Rare Disease Models & Mechanisms Network
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Updates the user s profile and publications
- Converts an OrganInfo to a UserOrgan
- Create a contact email token
- Search users by a given gene id
- Obtain a summary of available ontologies from the remote resources
- Collects all futures into a map
- Updates the ontology terms
- Saves a term by ID
- Updates gene orthologs
- Parses the given input stream into records
- Display the change password
- Creates new service account
- Search users by description
- The strategy for the flyway
- Updates the cached data
- Sends a support form to the user
- Loads an organology from the system
- Search for users
- Updates the reactome pathways in the given ontology
- Writes an OBO format to the given writer
- Updates the genes file
- Search users by name
- Updates the terms and traits for a given taxon
- Returns a list of users by a specific name and description
- Start the downloader
- Registers a new user
rgr Key Features
rgr Examples and Code Snippets
Community Discussions
Trending Discussions on rgr
QUESTION
I have an object like this:
...ANSWER
Answered 2021-Mar-12 at 11:03I managed to fix it using the following code:
QUESTION
I have just trained a linear regression model, getting my intercept and coefficient for house prices based on the "number_rooms" and "price". But I am just a bit unsure on how to plot my regression model using a scatter plot with a line of best fit.
Any help would be much appreciated on how to do this - thanks!
Here's my code:
...ANSWER
Answered 2020-Dec-03 at 12:08That's quite simple, try this once-
QUESTION
[
{
"passengerId": "RGR",
"passengerFirstName": "",
"passengerLastName": "",
"passengerPaxType": "",
"passengerBasicFare": 0,
"passengerTotalTax": 0,
"passengerTransactionAmount": 0,
"otherCharges": [
{
"passengerId": "RGR",
"chargeCodeAndType": "",
"chargeAmount": 0,
"passengerid": 0
}
]
},
{
"passengerId": "Test",
"passengerFirstName": "",
"passengerLastName": "",
"passengerPaxType": "",
"passengerBasicFare": 0,
"passengerTotalTax": 0,
"passengerTransactionAmount": 0,
"otherCharges": [
{
"passengerId": "Test",
"chargeCodeAndType": "",
"chargeAmount": 0,
"passengerid": 0
}
]
}
]
...ANSWER
Answered 2020-Aug-26 at 14:32I still don't understand what exactly the output is you want.
But maybe something like this?
QUESTION
When I use torch.load
to load one checkpoint:
ANSWER
Answered 2020-Aug-15 at 13:53I have found the solution. Because I'm using different clusters to train and debug, torch
version of each is different. When saving the model, the torch version is 1.6.0 and it's 1.1.0 when loading it.
QUESTION
I have a question about the difference between a randomsearch.score method (score 1) and randomsearch.best_score_ attribute (score 2).
Particularly when randomsearch.score is applied to X_train and y_train.
I thought the randomsearchCV automatically looks for the params that give the highest score on the training set? I would have assumed the randomsearch.score(Xtrain, ytrain) would be the same as the randomsearch.best_params_ score?
...ANSWER
Answered 2020-May-03 at 10:07With random_search.score(X_train, y_train)
, you are testing on same data you've used for training, hence such a high score. This is a (almost) completely meaningless information**, as it doesn't tell you how well your model will perform in unseen data.
cv=5
means your data was partitioned 5 times for each hyper-parameter setting, with 20% data used for testing, and 80% used for training in each partition. Result of these 5 test set is then averaged. The highest such average among all possible hyper-parameter setting is then recorded in random_search.best_score_
. So the crucial difference is you aren't evaluating performance on same data used for training, hence comparably lower score.
random_search.score(X_test, y_test)
is same as best_score_
in that you are evaluating model on unseen data, but it is better indicator of actual generalization performance. Unlike score 2
however, your model has been trained with 100% training data (as opposed to 80%). This is one possible explanation as to why score 3
is better than score 2
.
**If this value is low, you know your model is underfitting, and should try increasing model complexity, like adding more hidden layers to NN, or increasing max_depth
of decision tree.
QUESTION
I'm trying to reproduce this paper SiameseRPN using Keras. The architecture is presented as below.
its give this in my code.
...ANSWER
Answered 2019-Dec-16 at 09:08Yes, Keras.layers.concatenate
requires both the Convolutional Layers passed to it to have the same shape.
In this case, you can use UpSampling Layer
.
For Example, suppose the Shape of cls_x
is (None, 80, 128, 8)
and the Shape of cls_z
is (None, 40, 64, 8)
, you can use
QUESTION
I've following data frame which I generated for feature engineering and now in order to drive another feature, I am trying to create purchaseYearRange
column where I want to create a column with 3 year range and aggregate modelRatio, purchaseRatio
values by itemNo, modelnumber and valueClass columns
.
E.g.: For itemNo#7010032, we will have a row with 1995-1996-1997 value in new purchaseYearRange
column and modelRatio, purchaseRatio
values for these years will be summed up in the respective row. Next, I'll do that same for next 3 years which will be 1996-1997-1998, 1997-1998-1999, etc.
Also, this item has one row with itemClass - RGR
, for that row we'll only have that row with 1996 data.
Basically, check for 3 years data in dataframe and if it exists then sum modelRatio, purchaseRatio
for three-year range window. If three-year data doesn't exist then sum for two or one year based on data availability.
- DataFrame
ANSWER
Answered 2019-Nov-18 at 21:41IIUC, you can use Spark SQL Window function as following: (make sure the purchaseYear is a numeric or timestamp column)
Edit: per comments, added all_puchase_years to include 3-year sequence. Notice that ORDER BY itemNo, purchaseYear
clause is only for demonstration purpose.
QUESTION
I am trying to create a batch-file which will install an agent in a silent manner. Once the agent has installed I will need to navigate into the agent directory and edit a file called agent.xml
.
The agent.xml
file looks like the below:
ANSWER
Answered 2019-May-31 at 09:28First of all, this link has numerous methods of doing this flexibly.
If you want a quick method, assuming that what you want to replace will always be in the form of , and there's no
!
in your file, you can use this:
QUESTION
I have a very large data set (>12,000 rows) that contains two vectors of the start and end date of a measurement (relative growth rate). Each row has an individual, the date of the initial measurement, the date of the final measurement, and then the growth rate associated with that window. I want to count the number of days within each growth measurement that match dates that are in a separate vector. So ideally I would be adding a vector to the data frame that gives me a count of the number of matching days between the dates in the df and the external vector for each individual's growth rate.
Sample of what the data frame looks like, but in actuality it is much, much larger
...ANSWER
Answered 2019-May-26 at 14:29You could convert DaysToMatch
to date and call countDays
function using mapply
QUESTION
So here is my task: I have this file.txt with the following text lines:
...ANSWER
Answered 2018-Nov-26 at 14:45How about this. Open the input file, read it line per line, substitute 'WARNING ...' by an empty string, and write that to an output file.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rgr
You can use rgr 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 rgr 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 .
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page