smothiki

func largestIsland(grid [][]int) int {
    n:=len(grid)
    if n==0{
        return 0
    }
    visited:=make([][]bool,n)
    for i:=0; i<n; i++ {
        visited[i]=make([]bool,n)
    }
    islandArea:=make(map[int]int)

smothiki

	[
		[
			0.042575303465127945,
			0.032765358686447144,
			0.08288835734128952,
			0.045591503381729126,
			0.12116891145706177,
			-0.6816873550415039,
			-0.03048943541944027,
			-0.21693657338619232,

smothiki

import logging
import sys
import warnings
from urllib.parse import urlparse

import numpy as np
import pandas as pd
from sklearn.linear_model import ElasticNet
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score

smothiki

!pip install onnx==1.13.1 onnxruntime skl2onnx
import logging
import sys
import warnings
from urllib.parse import urlparse

import numpy as np
import pandas as pd
from sklearn.linear_model import ElasticNet
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score

smothiki

# split-oriented DataFrame input
curl http://127.0.0.1:5000/invocations -H 'Content-Type: application/json' -d '{
  "dataframe_split": {
      "columns": ["a", "b", "c"],
      "data": [[1, 2, 3], [4, 5, 6]]
  }
}'

# record-oriented DataFrame input (fine for vector rows, loses ordering for JSON records)
curl http://127.0.0.1:5000/invocations -H 'Content-Type: application/json' -d '{

smothiki

package main

import (
	"encoding/json"
	"fmt"
	"os"
	"path/filepath"
	"sync"
	"time"
)

smothiki

# The data set used in this example is from http://archive.ics.uci.edu/ml/datasets/Wine+Quality
# P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
# Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
!pip3 install scikit-learn pandas numpy
import os
import warnings
import sys

import pandas as pd
import numpy as np

smothiki

{
    "doc": {
        "mappings": {
            properties:{
            "capabilities_tags":  {
            "type": "nested"
             "fields": {..}
            }
            "creation_date": {

smothiki

import os
import warnings
import sys

import pandas as pd
import numpy as np
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.linear_model import ElasticNet
from urllib.parse import urlparse

smothiki

package main

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"io/ioutil"
	"os"