dca | Deep count autoencoder for denoising scRNA-seq data | Machine Learning library
kandi X-RAY | dca Summary
kandi X-RAY | dca Summary
Deep count autoencoder for denoising scRNA-seq data
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Top functions reviewed by kandi - BETA
- Plots a zero inf indicator
- Plot mean dropout
- Fit a quadratic quadratic model
- Compute the r - t - value test
- Train the model
- Calculate hyperparameters
- Read dataset
- Normalize the data
- Build the layer
- Get the encoder
- Build the output layer
- Writes the model to a file
- Write a matrix to a text file
- Write dataset to a tsv file
- Parse command line arguments
- Write dataset to file
- Write data to file
- Calculates the Poisson loss
- Build the model
- Build the model output
- Compute the loss
- Mean squared error
dca Key Features
dca Examples and Code Snippets
["".join(x) for x in itertools.permutations("abcd", 3)]
> ['abc', 'abd', 'acb', 'acd', 'adb', 'adc', 'bac', 'bad', 'bca', 'bcd', 'bda', 'bdc', 'cab', 'cad', 'cba', 'cbd', 'cda', 'cdb', 'dab', 'dac', 'dba', 'dbc'
def problem5a(path):
df=pd.read_csv('311-service-requests.csv')
df['Created Date'] = pd.to_datetime(df['Created Date'])
df['Day of Week'] = df['Created Date'].dt.day_name()
df['Month of Year'] = df['Created Date'].dt.month_
id_num=[101,102,103,104]
price = [40,50,60,70]
stock = [10,14,14,13]
try:
inp_num=int(input("enter the id number:"))
qua = int(input("enter the quantity:"))
except ValueError:
print("Invalid")
if inp_num in id_num:
arr = ['abc', 'dca', 'ac']
set_list = [set(a) for a in arr]
intersection = set.intersection(*set_list)
print(intersection)
print(len(intersection))
{'c', 'a'}
2
arr = ['abc', 'dca', 'ac']
common = set.intersection(*(set(string) for string in arr))
print(common)
# {'a', 'c'}
print(len(common))
# 2
def parse(self, response):
for item in response.css('your_epxression to_get list_of_items'):
id_num = item.css('td:nth-child(1)::text').get()
issued_at = item.css(
'.align-center.xcrud-current::text').get()
df['timestamp'] = pd.to_datetime(df['timestamp'], format='%m/%d/%y')
for c in df.columns.difference(['project_id','timestamp']):
df[c] = df.groupby(['project_id',c], sort=False)['timestamp'].transform('last')
print (df)
project_id
class Hypervisor(resource.Resource):
...
#: Name of hypervisor
name = resource.Body('hypervisor_hostname')
Community Discussions
Trending Discussions on dca
QUESTION
I have server with centos 7.9 3.10.0-1160.53.1.el7.x86_64
When running my dpdk 19 muliple process application i have softlockup
The server i run on have 2 ixgbe 10G, and one 100G connectx-5
...ANSWER
Answered 2022-Apr-03 at 08:42Adding iommu=pt intel_iommu=on to the grub solve the softlockup and the 10 G Rx
QUESTION
I have a graph g
ANSWER
Answered 2022-Apr-01 at 10:31You can use subgraph.edges
:
QUESTION
I have below code, which is to add annonation for each column in the sankey chart.
...ANSWER
Answered 2022-Feb-25 at 14:04It appears that your definePosition() function is putting your node labels in the expected places. It is doing its job. However, it is the nodes that are not appearing where they should.
You are attempting to fix the node positions using calculated node_x
and node_y
vectors. However, plotly's handling of manual node positions is finicky and a bit opaque. In some cases it appears to override manual positions. I have found that in your situation, omitting one or both of the arguments x
or y
in node
will align your nodes where expected. For example:
QUESTION
example code to create a Sankey chart with networkD3::sankeyNetwork()
...
ANSWER
Answered 2022-Feb-25 at 12:06The jsCode
argument of htmlwidgets::onRender()
is a string/character vector that contains valid JavaScript.
QUESTION
Here is example code that I use to make a Sankey chart using networkD3::sankeyNetwork()
ANSWER
Answered 2022-Feb-25 at 08:29Add a column to your links
data.frame that will specify the group for each link (in your case, they will all be in the same group). Then add a custom color scale command that will specify "blue" for that group. Then tell the sankeyNetwork()
function the name of the column in your links
data.frame that specifies the link group and pass it you custom colorScale
.
QUESTION
I am running below code in RStudio, and want to create sankey chart with plotly. code runs without error. but the sankey chart is not displayed. what's wrong here?
...ANSWER
Answered 2022-Feb-10 at 08:03You'll need to define the node position by setting the arrangement
argument to stop plotly from automatically justifying the position.
This requires some finessing as you need to specify the coordinates of the nodes. You can find more details here: https://plotly.com/python/sankey-diagram/#define-node-position
CodeQUESTION
sample csv data:
date,Data Center,Customer,companyID,source,target,value 6/1/2021,dcA,customer1,companyID1,step1:open_list_view,exit,1 6/1/2021,dcB,customer2,companyID2,step1:open_list_view,exit,1 6/1/2021,dcC,customer3,companyID3,step1:open_list_view,exit,1 6/2/2021,dcD,customer4,companyID4,step1:open_list_view,exit,2 6/2/2021,dcE,customer5,companyID5,step1:open_list_view,step2:switch_display_option,1
I run below code for put the sankey chart in dashboard, and the chart can be updated accordingly by applying filters. but an error appears on dashboard. What is the issue?
...An object was provided as
children
instead of a component, string, or number (or list of those). Check the children property that looks something like:
ANSWER
Answered 2022-Feb-06 at 12:22Your callback function returns a figure
and is trying to assign it to the children
property of a html.Div
. Can't do that as far as I know. A div's child should be other components, strings or numbers as stated in the error message.
Did you mean to write
QUESTION
#include
#include
#include
#include
#include
using namespace std;
static inline void stick_this_thread_to_core(int core_id);
static inline void* incrementLoop(void* arg);
struct BenchmarkData {
long long iteration_count;
int core_id;
};
pthread_barrier_t g_barrier;
int main(int argc, char** argv)
{
if(argc != 3) {
cout << "Usage: ./a.out " << endl;
return EXIT_FAILURE;
}
cout << "================================================ STARTING ================================================" << endl;
int core1 = std::stoi(argv[1]);
int core2 = std::stoi(argv[2]);
pthread_barrier_init(&g_barrier, nullptr, 2);
const long long iteration_count = 100'000'000'000;
BenchmarkData benchmark_data1{iteration_count, core1};
BenchmarkData benchmark_data2{iteration_count, core2};
pthread_t worker1, worker2;
pthread_create(&worker1, nullptr, incrementLoop, static_cast(&benchmark_data1));
cout << "Created worker1" << endl;
pthread_create(&worker2, nullptr, incrementLoop, static_cast(&benchmark_data2));
cout << "Created worker2" << endl;
pthread_join(worker1, nullptr);
cout << "Joined worker1" << endl;
pthread_join(worker2, nullptr);
cout << "Joined worker2" << endl;
return EXIT_SUCCESS;
}
static inline void stick_this_thread_to_core(int core_id) {
int num_cores = sysconf(_SC_NPROCESSORS_ONLN);
if (core_id < 0 || core_id >= num_cores) {
cerr << "Core " << core_id << " is out of assignable range.\n";
return;
}
cpu_set_t cpuset;
CPU_ZERO(&cpuset);
CPU_SET(core_id, &cpuset);
pthread_t current_thread = pthread_self();
int res = pthread_setaffinity_np(current_thread, sizeof(cpu_set_t), &cpuset);
if(res == 0) {
cout << "Thread bound to core " << core_id << " successfully." << endl;
} else {
cerr << "Error in binding this thread to core " << core_id << '\n';
}
}
static inline void* incrementLoop(void* arg)
{
BenchmarkData* arg_ = static_cast(arg);
int core_id = arg_->core_id;
long long iteration_count = arg_->iteration_count;
stick_this_thread_to_core(core_id);
cout << "Thread bound to core " << core_id << " will now wait for the barrier." << endl;
pthread_barrier_wait(&g_barrier);
cout << "Thread bound to core " << core_id << " is done waiting for the barrier." << endl;
long long data = 0;
long long i;
cout << "Thread bound to core " << core_id << " will now increment private data " << iteration_count / 1'000'000'000.0 << " billion times." << endl;
std::chrono::steady_clock::time_point begin = std::chrono::steady_clock::now();
for(i = 0; i < iteration_count; ++i) {
++data;
__asm__ volatile("": : :"memory");
}
std::chrono::steady_clock::time_point end = std::chrono::steady_clock::now();
unsigned long long elapsed_time = std::chrono::duration_cast(end - begin).count();
cout << "Elapsed time: " << elapsed_time << " ms, core: " << core_id << ", iteration_count: " << iteration_count << ", data value: " << data << ", i: " << i << endl;
return nullptr;
}
...ANSWER
Answered 2022-Jan-13 at 08:40It turns out that cores 0, 16, 17 were running at much higher frequency on my Skylake server.
QUESTION
ANSWER
Answered 2022-Jan-09 at 16:19A possible solution, where Calculate
is determined in the first mutate
(therefore, outside if_else
), which can correspond to a very complicated calculation, as you declare you are needing:
QUESTION
I have below csv file where values in C_DS and C_RT could be multi-value.
...ANSWER
Answered 2022-Jan-07 at 11:04You can try this way. First, calculate the unique list of labels from your column as new table.
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