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I am working on a clustering problem. I have 11 features. My complete data frame has 70-80% zeros. The data had outliers that I capped at 0.5 and 0.95 percentile. However, I tried k-means (python) on data and received a very unusual cluster that looks like a cuboid. I am not sure if this result is
我对主文件有一些问题,我有一个结构矩阵(理论上),我想修改所有结构中的所有"p“参数。这是主文件:
int main(int argc, char** argv) {
int i, j;
struct PQ *queue;
queue = createQ(5);
for (i = 0; i <= 5; i++) {
for (j = 0; j = 20; j++);
queue->mem[i][j].p = 1;
}
for (i = 0; i <= 5; i++) {
puts("\n");
for (j = 0;
我有两个数据类,比如:
from dataclasses import dataclass
from pathlib import Path
@dataclass
class InnerDataClass:
host: str
@dataclass
class OuterDataClass:
directory: Path
host: InnerDataClass
当我调用OuterDataClass(...)时,Python在最后一行返回错误NameError: name 'InnerDataClass' is not defined。它为什么要这
我有一个函数说明,它应该计算一个变量的多项式函数。函数的系数以列表的形式给出。它还接受变量的值作为实数。
例如: eval(2,4,3,2,1) = 26 (1*x^3 + 2*x^2 + 3*x^1 + 4*x^0,其中x= 2)
以下是python中的函数,但我不确定如何将其转换为SML。我很难找到一种在不改变函数参数的情况下传递迭代值的方法。它需要保持一个实数*实数列表->实数函数。
def eval(r, L):
sum = 0
for i in range(0, len(L)):
sum = sum + L[i] * (r ** i)
r
我有一个AJAX函数来发送参数并从python脚本中检索一些json对象。我尝试将输入文本中的值发送到脚本
AJAX代码
function ajax_get_json(){
var results = document.getElementById("results");
var hr = new XMLHttpRequest();
var tipo = document.getElementById('tipo').value;
var atributo = " " +tipo;
document.get
我用了下面的词来理解
dimer = {(ab+cd):{"1":0,"2":0,"3":0} for cd in 'ACGT' for ab in 'ACGT'}
为了产生一个二聚体,二聚体:
dimer = {"AA":{"1":0,"2":0,"3":0}, "AC":{"1":0,"2":0,"3":0}, "AG":{"1":0,"2