modeltest | Best-fit model selection
kandi X-RAY | modeltest Summary
kandi X-RAY | modeltest Summary
ModelTest-NG is a tool for selecting the best-fit model of evolution for DNA and protein alignments. ModelTest-NG supersedes jModelTest and ProtTest in one single tool, with graphical and command console interfaces.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of modeltest
modeltest Key Features
modeltest Examples and Code Snippets
sudo apt-get install flex bison
mkdir build && cd build
cmake ..
make
mkdir build && cd build
cmake -ENABLE_MPI=ON ..
make
mkdir build && cd build
cmake -DENABLE_GUI=ON ..
make
mkdir build && cd build
cmake -DSTATI
docker build -t modeltest-ng .
docker run -it modeltest-ng bash
Community Discussions
Trending Discussions on modeltest
QUESTION
Let's say I have a model class that looks like this:
...ANSWER
Answered 2022-Feb-08 at 18:29While your data model isn't ideal, it is possible to check each of the properties by utilizing the ||
operator to compare each value. As long as your testCompare
variable does not contain null, you can also omit a null check.
QUESTION
I have two models I am trying to write some tests around but getting an error ONLY when the 2nd test stub is added.
Error
...ANSWER
Answered 2021-May-17 at 23:05Try using self.project.id
or use id instead of pk
Or use Project.objects.create
method with necessary fields
QUESTION
My issue is that I'm trying to make a SurfaceView
display a 3D model that's just a small part of the whole application layout. The layout includes multiple views for displaying other data; however, as soon as I create the ModelViewer
the SurfaceView
vanishes. When I use version 1.9.9
of Filament the layout is displayed, but heavily pixelated and seems to make other layout elements disappear. With v1.7.0
the other elements don't dissapear, but nothing is displayed.
I'm using the following version in Gradle file:
...ANSWER
Answered 2021-Apr-28 at 19:30I fixed this a while back by making a copy of the ModelViewer
class and making a custom ModelViewer3D
class with a new constructor, which was a nice solution, because it gives you more control over the options than you would normally with the given ModelViewer
.
The uiHelper
isOpaque
field needed to be set to false to fix the above issue, and for a transparent background of the surface view the renderer needed to reset the clear options (which I made a separate function for, shown below).
QUESTION
I want to run a unit test on test_models.py
the contents of the file is below:
ANSWER
Answered 2021-Apr-30 at 11:21All right. I find the error. the folder tests.py
does not contain any __init__.py
file. thats why django cant locate test file. so it does not run the test.
At last adding __init__.py
on test folder solved the problem
QUESTION
In widget my implementation, model
the source model (subclassed from a QAbstractItemModel
), proxy_model
(subclassed from QSortFilterProxyModel) the proxy, and tree
(QTreeView) the tree representing the model.
I want to hide the first column.
I tried to use tree.hideColumn(0)
, the the tree is shown flat.
- If I subclass
filterAcceptsColumn
in the proxy to return True only for the second column,, then no rows are shown. I believe this is because the parent/child relationships are anchored on the first column in the indexes, and when the proxy ask for the number of rows for a given index of column 1, the model returns 0 (which is the expected behavior in the model implementation if I understood well). - If I set
rowCount
to return non 0 values in the model for columns index > 0, I can see the tree and the rows, but then the model is not passing theQAbstractItemModelTester
test with the folloing error:
ANSWER
Answered 2021-Apr-26 at 14:46A proper and correct implementation would at least require the proxy to create indexes for the parent of the second column, requiring correct implementation of index()
, parent()
, mapToSource()
and mapFromSource()
. For tree models that can be really tricky.
If the source model is not too complex and all its functions are correctly implemented, a possible workaround could be to just override the data()
(and headerData
) of the proxy and always return the sibling of the next column.
The following test is done with a simple QStandardItemModel, but I don't think using a QAbstractItemModel should be any different, as long as it's correctly implemented.
QUESTION
class User {
final String? name;
final int? age;
final Map? userAuuth;
User({this.name, this.age, this.userAuuth});
Map toMap() {
return {'name': name, 'age': age, 'userAuuth': userAuuth};
}
User.fromJson(Map json)
: name = json['name'],
age = json[22],
userAuuth = json['userAuuth'];
Map toJson() => {
'name': name,
'age': age,
'userAuuth': userAuuth,
};
}
class ModelTest {
Map a;
aa() {
var a = User().toMap();
userAuth();
}
}
...ANSWER
Answered 2021-Apr-20 at 21:35This is one solution for your request. The problem that you can find is that when you create the user your map can be null and if that is the case you are not able to add any fields in the map. I would recommend if you want to always have a value in your map is to check in the constructor if you do not pass a map to at least instance a new empty map so you can after insert any value, but I'm not sure the solution you are looking for so I followed your class with the possibility that it can be null the map.
QUESTION
I made a django projects in which i made a test i assign email to email but it was taking it as a Id solve thi problem It was a django project in which i am making a receipe api . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . , , . . .
Models.py
...ANSWER
Answered 2021-Feb-09 at 07:38First parameter in __init__
is id and not email, use keyword argument instead
QUESTION
I'm building a DES queue model in AnyLogic. I have built several models before where I make use of defining my own agent type to store agent parameters that change how they flow through a queue network, for example. In the past this has not caused errors. However, after building a new and incredibly simple M/M/1 queue model (source, service and sink) and defining a new agent type "MyAgent", even if I don't save or access any agent attributes I've been getting the error:
...ANSWER
Answered 2021-Feb-03 at 21:01Try going to the service properties. Under the "Advanced" tab, is Agent Type
selected as "MyAgent" or as "Agent"? Similarly, go to the source properties and check the tab Agent
and make sure "MyAgent" is selected.
QUESTION
I have to test the following classes with gmock and since I'm pretty new to Gmock Testing in general, I have no idea, where I'm getting these errors from. So I have my Model class in the Model.hpp, which looks like this:
...ANSWER
Answered 2020-Nov-02 at 21:56The add_submodel
function takes its std::unique_ptr
parameter by value. When you call model.add_subproblem(mock1_ptr);
, this would result in mock1_ptr
being copied. However, unique_ptr is not copyable.
To fix this, you can remove the variable and directly pass the temporary, as in model.add_subproblem(std::make_unique());
. Alternatively, you can move the unique_ptr in, as in model.add_subproblem(std::move(mock1_ptr));
(but you must remember that mock1_ptr will become nullptr
after this point).
QUESTION
Who can suggest how to improve the model?
The regular model in sklearn LinearRegression()
predicts temperature with an error of 1 and the error of the model built manually on tensorflow won't drop below 5.5, no matter the activation function, the number of layers, or epochs.
The data was both standardized and derived into positive values
...ANSWER
Answered 2020-Sep-28 at 12:48def createModelG(inputShape):
model = Sequential()
model.add(Dense(4096, input_dim = inputShape,
kernel_initializer = initializers.glorot_uniform(seed = 1),
kernel_regularizer = keras.regularizers.l2(0.01), activation = "relu"))
model.add(Dense(2048,
kernel_initializer = initializers.glorot_uniform(seed = 1), activation = "relu"))
model.add(Dense(2048,
kernel_initializer = initializers.glorot_uniform(seed = 1), activation = "relu"))
model.add(Dense(1024,
kernel_initializer = initializers.glorot_uniform(seed = 1), activation = "relu"))
model.add(Dense(1024,
kernel_initializer = initializers.glorot_uniform(seed = 1), activation = "relu"))
model.add(layers.Dropout(0.05))
model.add(Dense(1))
optimizer = tf.keras.optimizers.Adam(learning_rate = 0.000001)
model.compile(loss = 'mse', optimizer = optimizer, metrics = ["mse", "mae"])
return model
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install modeltest
For other systems, please make sure you have following packages/libraries installed: GNU Bison Flex.
Install the dependencies. On Debian-based systems, you can simply run
Build ModelTest-NG.
If you want to build a Docker image, use a command like this:. Then call docker run to create a container using the created image.
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