philipphager

philipphager

def theme():
    return {
        "config": {
             "title": {
                "font": "serif",
                "fontWeight": "normal",
                "fontSize": 16,
            },
            "axis": {
                "titleFont": "serif",

philipphager

# Dependencies to install: Pandas for dataframes, pyarrow to support the feather file format.
# pip install pandas
# pip install pyarrow

# Load a downloaded dataset from file:
train_df = pd.read_feather("train.feather")
train_df.head()

# The dataset contains 220 features per query-document (columns starting with 'feature_*')
# Here is one of many ways to select all columns starting with 'feature_'

philipphager

# Dependencies to install. Pandas for dataframes, pyarrow to support the .parquet file format.
# pip install pandas
# pip install pyarrow

# Load a downloaded dataset from file:
train_df = pd.read_parquet("mslr_train.parquet")
train_df.head()

# The dataset contains 136 features per query-document (columns starting with 'feature_*')
# E.g. one way to select all columns starting with 'feature_'

philipphager

{
    "statistic": {
        "postings": [
            {
                "doc_id": 0,
                "tf": 1
            }
        ],
        "df": 1
    },

philipphager

{
  "config": {"view": {"continuousWidth": 400, "continuousHeight": 300}},
  "data": {"name": "data-1132bb181f3c2cf775a80ccf83650219"},
  "mark": "line",
  "encoding": {
    "color": {"field": "model", "type": "nominal"},
    "row": {"field": "metric", "type": "nominal"},
    "tooltip": [
      {"field": "epoch", "type": "quantitative"},
      {"field": "model", "type": "nominal"},

philipphager

{
  "config": {
    "view": {"continuousWidth": 400, "continuousHeight": 300},
    "axis": {
      "labelFontSize": 14,
      "labelFontWeight": "normal",
      "titleFontSize": 14
    },
    "axisX": {"titlePadding": 20},
    "axisY": {"titleFontWeight": "normal"},

philipphager

{
  "config": {"view": {"continuousWidth": 400, "continuousHeight": 300}},
  "hconcat": [
    {
      "mark": "bar",
      "encoding": {
        "tooltip": [
          {"type": "quantitative", "field": "id"},
          {"type": "nominal", "field": "name"},
          {"type": "quantitative", "field": "loss"},

philipphager

{
  "config": {"view": {"continuousWidth": 400, "continuousHeight": 300}},
  "hconcat": [
    {
      "mark": "bar",
      "encoding": {
        "tooltip": [
          {"type": "quantitative", "field": "id"},
          {"type": "nominal", "field": "name"},
          {"type": "quantitative", "field": "loss"},

philipphager

package segments;

import java.util.*;

public class AdjacencyList {
    private static final int[] NODE_THRESHOLDS;

    static {
        NODE_THRESHOLDS = new int[32];
        NODE_THRESHOLDS[0] = 0;