It can be numeric, categorical, or text. Numeric or categorical summary of the field. An array that represents an approximate histogram of the distribution. It consists of value pairs, where the first value is the mean of a histogram bin and the second value is the bin population.
For more information, see our blog post or read this paper. An array of pairs where the first element of each pair is one of the unique values found in the field and the second element is the count. Only available when the number of distinct values is less than or equal to 32. A measure of 'peakiness' or heavy tails in the field's distribution.
A status code that reflects the status of the dataset creation. Number of milliseconds that BigML. Information about ill-formatted fields that includes the total format errors for the field and a sample of the ill-formatted tokens.
Example: "category": 1 description optional A description of the dataset up to 8192 characters long. Example: "description": "This is a description of my new dataset" fields optional Updates the names, labels, and descriptions of the fields in the new dataset. Example: "description": "This field is a transformation" descriptions optional A description for every of the new fields generated. Example: "fields": "(window Price -2 0)" label optional Label of the new field. Example: "label": "New price" Labels for each of the new fields generated.
Example: "name": "Price" names optional Names for each of the new fields generated. Example: "This is a description of my new sample" name optional The name you want to give to the new sample. This will be 201 upon successful creation of the sample and 200 afterwards.
Make sure that you check the code that comes with the status attribute to make sure that the sample creation has been completed without errors and that it is still available in the in-memory cache.
This is the date and time in which the sample was created with microsecond precision. True when the sample has been created in the development mode. In a future version, you will be able to share samples with other co-workers. It includes the fields' dictionary describing the fields and their summaries and the rows. A description of the status of the sample. This is the date and time in which the sample was updated with microsecond precision. Each entry includes the column number in the original dataset, the name of the field, the type of the field, and the summary.
See this Section for more details. A list of lists representing the rows of the sample. Values in each list are ordered according to the fields list. A status code that reflects the status of the sample creation. That is no categories are specified. A dictionary between input field id and an array of categories to limit the analysis to. Each array must contain 2 or more unique and valid categories in the string format.
If omitted, each categorical field is limited to its 100 most frequent categorical values. This field has no impact if the data type of input fields are non-categorical.USD in 12h, 46m, 55 sin 20h, 1m, 55 sin 20h, 1m, 55 s HALF TIME PICKS To return: 0 USD 6h, 13m, 5 s ago6h, 43m, 5 s ago12h, 43m, 5 s ago DOUBLE CHANCE PICKS To return:??. USD in 17h, 46m, 55 sin 14h, 16m, 55 sin 14h, 46m, 55 s MATCH GOALS PICKS To return:??. Henryka Reymana Wisla Plock Legia Warsaw Legia Warsaw vs.
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Two entrepreneurs on the forefront of emerging tech describe their progress on developing a brain-computer interface for. A critical vulnerability found in the Windows Malware Protection Engine required an emergency Microsoft patch, but one expert. News roundup: The man responsible for the 2016 Uber data breach is a 20-year-old from Florida.
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Concentrate on slow, smooth lifts and equally controlled descents while isolating a muscle group. Working at the right tempo helps you stay in control rather than compromise strength gains through momentum. For example, count to three while lowering a weight, hold, then count to three while raising it to the starting position. Pay attention to your breathing during your workouts.
Keep challenging muscles by slowly increasing weight or resistance. The right weight for you differs depending on the exercise. Choose a weight that tires the targeted muscle or muscles by the last two repetitions while still allowing you to maintain good form.
If you can't do the last two reps, choose a lighter weight. When it feels too easy to complete add weight (roughly 1 to 2 pounds for arms, 2 to 5 pounds for legs), or add another set of repetitions to your workout (up to three sets). If you add weight, remember that you should be able to do all the repetitions with good form and the targeted muscles should feel tired by the last two. Stick with your routine working all the major muscles of your body two or three times a week is ideal.
You can choose to do one full-body strength workout two or three times a week, or you may break your strength workout into upper- and lower-body components. In that case, be sure you perform each component two or three times a week.
Give muscles time off. Strength training causes tiny tears in muscle tissue. These tears aren't harmful, but they are important: muscles grow stronger as the tears knit up.
Always give your muscles at least 48 hours to recover before your next strength training session.
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Here are ten tips to make your vacation the stress-buster it really should be. If you only take a vacation once in a while, it puts a lot of pressure on that time period for everything to be perfect.
A three-day getaway is nice and a week-long one is quite common, but 10 could be the magic vacation number. Traveling with kids adds unique challenges, especially when you have to schedule around nap and feeding times.
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Similarly, the summer might not be the best time for a vacation, depending on where you go. You can plan a trip itinerary using your own custom Google Map or this simple spreadsheet too. Keep your cool by making sure everyone is on the same page when it comes to accommodations and planned activities. You can force yourself not to get sucked into work mode with a vacation email address.
Photo by Transia Design (Shutterstock). For more, check out our Weekend Roundup and Top 10 tags.I am at the RNC. Not sure what I am going to see, but I am credentialed member of the press for the next two days. Will keep you posted on the blog and on Twitter. I will be blogging live here.
Last night was a bit of a wash for the RNC. The main prime time speech went over well, when it happened, but it turned out to be (partially) plagiarized. The big nights will be Wednesday and Thursday, when PredictWise (i. The expectations for the convention are pretty low, meaning that it could be a gain for him, if he does well.
I will be back with daily updates in the Musing section as well as regular Tweets and Facebook updates. Site last updated at 8 PM ET yesterday, but I hope to have the data flowing in the next few hours. In the meanwhile, will tweet out updates if anything changes.
But, should not be a huge worry. UPDATE: all fixed by 11:30 AM ET today. Sorry for any issues Are prediction markets now too stable, because people trust them too much. I explore with Andrew Gelman in a new post at Slate.
I know it is not as sexy or important as the president, but senate races are just really exciting. Wisconsin and Illinois are very likely Democrats gains from Republicans in blue states. Nevada is now a tight hold for the Democrats. Indiana, Pennsylvania, New Hampshire, and Florid are all leaning Republican by a whisker.
Ohio and North Carolina are leaning Republican a little more strongly. The chart tracks the probability of victory on PredictWise since we started state-by-state predictions on February 27, 2016. I know that an efficient market should have everything priced in immediately, but the state-by-state predictions have slipped slightly above the national predictions in the last few days.
She just needs to win one of those and she is president. At this point I have been constructing the predictions independently and they have stayed very consistent. If this divergence continues I will become increasingly concerned about whether the national markets are suppressed.
If there is a good lesson for American public opinion from Brexit it this. The two set of voters: leave and remain, live in a totally different reality. The remain voters got increasingly freaked out about the British economy as a possibility turned into a reality. The leave voters, most of them, assume that it was meaningless fit of the elite bankers who were upset they did not get their way.
A small fraction of leave voter regret their vote. But, remain would most likely win a re-vote, because a huge number of non-voters feel silly for not voting remain. Brexit happened, what does that mean for the USA.Please click here if you are not redirected within a few seconds.
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