pseudo-true parameter vectortest of overidentifying restrictionsFixed alternatives are determined against which the OR test is inconsistent. If there is a "true parameter" then the result of the OR pretest should be carefully interpreted. The inconsistency result of the OR test is related to the ...
target = target def get_params(self, deep=True): return { "sample_rate": self.sample_rate, "seed": self.seed, "model": self.model, "unlabled_data": self.unlabled_data, "features": self.features, "target": self.target } def set_params(self, **parameters): for parameter, value...
tl.pca(ad, use_highly_variable=True) sc.pp.neighbors(ad, use_rep='X_pca') sc.tl.umap(ad) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # If you pass `n_top_genes`, all cutoffs are ignored. # extracting highly variable genes # finished (0:00:00) # --> added # '...
| pseudo_wrapfuncs.c:8678:49: warning: argument 2 of type ‘const struct timeval *’ declared as a pointer [-Warray-parameter=]| 8678 | lutimes(const char *path, const struct timeval *tv) {| | ~~~^~| In file included from pseudo_wrappers.c:27:| /usr/include/x86_64-linux-gnu...
For example, you can use theAWS::NoValueparameter when you want to use a snapshot for an Amazon RDS DB instance only if a snapshot ID is provided. If theUseDBSnapshotcondition evaluates to true, CloudFormation uses theDBSnapshotNameparameter value for theDBSnapshotIdentifierproperty. If the...
for parameter, value in parameters.items(): setattr(self, parameter, value) return self def fit(self, X, y): ''' Fit the data using pseudo labeling. ''' augemented_train = self.__create_augmented_train(X, y) self.model.fit( ...
RSS Focus mode true, false Description You can disable the creation of pseudocolumns for a session by setting thespectrum_enable_pseudo_columnsconfiguration parameter tofalse. Example The following command disables the creation of pseudocolumns for a session. ...
"auth_action": { "action_type": "redirect", "redirect": { "redirect_target": { "use_custom_redirect_uri": true, "target": "https://honestidp/auth", "custom_key": "" }, "default_parameter_action": "passthrough", "parameters": [ { "id": "client_id", "action": "set", "va...
...BeginusingscVItocorrectbatcheffectGPUavailable:True(cuda),used:TrueTPUavailable:False,using:0TPUcoresIPUavailable:False,using:0IPUsHPUavailable:False,using:0HPUsLOCAL_RANK:0-CUDA_VISIBLE_DEVICES:[0]Epoch326/326:100%|██████████|326/326[13:22<00:00,2.47s/it,loss=599,v_num=...
for parameter, value in parameters.items(): setattr(self, parameter, value) return self def fit(self, X, y): ''' Fit the data using pseudo labeling. ''' augemented_train = self.__create_augmented_train(X, y) self.model.fit( ...