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Rajasthani wife fucked by husband 64 sec Royalrao89 - 3. Barmer sex video rajasthan 3 min Jatt - 4. Rajasthani wife fucked doggystyle 2 min Royalrao89 - 2.Big hitters often taste success on US Open tracks, with eight of the last 11 winners ranking in the top-eight for DD during the week of their success.

A high Greens in Regulation percentage will be key and is usually the case year-in year-out at this major. The US Open invariably boils down to a missed putt here or a key putt there, but in order to be in contention on Sunday, a player needs to be hitting plenty of greens. The average GIR rank for every champion this century is just 7. However, with plenty of exciting second-shots expected at Erin Hills, it will favour those with a bit of flair and those who are comfortable shaping the ball both ways, meaning strokes gained approaching the green will be a telling stat.

The slick greens will suit aggressive putters, but form with the short-stick is part and parcel of doing well in most tournaments.

Salvaging pars from wayward approaches will be challenging this week, making Scrambling a key stat to consider, with a certain amount of creativity required. This will certainly favour the younger generation and the more athletic golfer. A Par 72 should offer more scoring opportunities and it is a course that will reward aggressive iron-play. Many established names have been crowned US Open champion and in the last six years the cream has really risen to the top. Only Kaymer has been ranked outside the top-15 in the world before winning, but the German had shown his quality by picking up a PGA Championship in 2010.

Last year, DJ continued the trend of recent US Open winners having excellent seasons prior to their title. He had not won before his triumph but he had registered eight top-15 finishes from 11 events. As a result, every winner since the turn of the century has now recorded at least one top-five finish prior to their success, with nine winning at least once.

The last seven winners, in particular, have all hit top form, with six registering at least four top-10 finishes that year prior to their success (the exception was Kaymer, who still had two, one of which was winning at TPC Sawgrass). Although the course differs every year, previous US Open form looks a big plus. In the last 20 or so years Retief Goosen, Ernie Els, Lee Janzen and Payne Stewart have all become dual champions, whilst Tiger Woods is a three-time winner.

Moreover, despite never winning, Phil Mickelson and Colin Montgomerie finished runner-up on numerous occasions. DJ continued this trend after winning just a year on from the heartbreak of Chambers Bay, as well as 4th in 2014 and 8th in 2010. This means that 19 of the 27 winners since 1990 had previously recorded a top-10 finish.

More recently, six of the last 10 winners had previously had a top-eight finish, while superstars McIlroy and Spieth won on just their third attempt, but had already come 10th and 17th respectively. It is worth looking out for the guys who will embrace the challenge of a US Open.

He has been victorious five times from 19 tournaments since Oakmont, along with 12 top-10 finishes. In theory, the course looks tailor-made for DJ with his power and ball-striking ability, in addition to his skills as a fantastic wind exponent. However, there are a few questions marks over his form since the freak back injury that kept him out of the Masters, going just 2-12-13-MC since.Dam Ready (8) 3.

Blood Moon (6) 2.

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Terindah (4) Form suggests the winner will come from the top three picks. DAM READY resumes from a 19 week spell and racing back from the city, one of the main hopes. BLOOD MOON winner of three in a row after last start win at Echuca and has shown early speed in races to date, has solid claims. GREVISTE resumes after a 22 week spell. Resumes well and won at Ballarat when last first-up, among the chances. TERINDAH first-up after 20 week spell and Cranbourne trial winner, dangerous.

Yea (VIC) Non-TAB 3. Auspicious Lad (1) 1. Bern for You (3) 4. Golden Tart (5) Scratched 5. BERN FOR YOU winner at Healesville and placed once this campaign, include in exotics. GOLDEN TART genuine on pace runner in a race without much early speed and should run fitter for past attempts, outside hope. RANDAROCK on a seven day back-up and should run fitter for past attempts, for the wider exotics.

Ebony Royal (1) 3. Lochend Emmarose (2) 1. Lara Lad (4) EBONY ROYAL resumes after a spell of 26 weeks and expected to settle off the speed, serious player. THEMOOSE resumes from a 15 week spell and should be near the speed in a race without much early pace, include in exotics.

LOCHEND EMMAROSE finished in the middle of the pack last start at Woolamai and placed once this prep at Yea, capable of getting into the money with a bit of luck.

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Looks the leader and will take plenty of catching, for the wider exotics. Norsika (4) Scratched 2. King Mapoora (7) ScratchedStand-out between the top two picks. NORSIKA all wins have come when faced with dry ground, genuine contender. DEHUGHES coming off a win at Yea and two of four wins have come from dry ground, can figure. FOLD resumes from a 28 week spell and four from five wins have been in the dry, in with a chance.

KING MAPOORA has two placings from nine runs this prep and four of five wins have come from dry ground, not without each-way claims. Code It (1) 3. Dad 'n' Bri's Shed (8) 5. Salaqua (6) MAGNYTE has good early speed and won once this prep at Yea two runs back, major contender. CODE IT drawn perfectly, place hope.

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DAD 'N' BRI'S SHED 2 wins from four attempts this campaign and all wins have come when faced with dry ground, quinella. SALAQUA has shown early speed in races to date and may fade late, place claims.

Family Pride (2) 4.Basically, a Flatline expresion can easily be translated to its json-like variant and vice versa by just changing parentheses to brackets, symbols to quoted strings, and adding commas to separate each sub-expression. For example, the following two expressions are the same for BigML. If you specify both sampling and filtering arguments, the former are applied first. As with filters applied to datasources, dataset filters can use the full Flatline language to specify the boolean expression to use when sifting the input.

Flatline performs type inference, and will in general figure out the proper optype for the generated fields, which are subsequently summarized by the dataset creation process, reaching then their final datatype (just as with a regular dataset created from a datasource). In case you need to fine-tune Flatline's inferences, you can provide an optype (or optypes) key and value in the corresponding output field entry (together with generator and names), but in general this shouldn't be needed.

Samples Last Updated: Monday, 2017-10-30 10:31 A sample provides fast-access to the raw data of a dataset on an on-demand basis.

When a new sample is requested, a copy of the dataset is stored in a special format in an in-memory cache. Multiple and different samples of the data can then be extracted using HTTPS parameterized requests by sampling sizes and simple query string filters. That is to say, a sample will be available as long as GETs are requested within periods smaller than a pre-established TTL (Time to Live). The expiration timer of a sample is reset every time a new GET is received.

If requested, a sample can also perform linear regression and compute Pearson's and Spearman's correlations for either one numeric field against all other numeric fields or between two specific numeric fields. You can also list all of your samples. You can also use curl to customize a new sample with a name. Once a sample has been successfully created it will have the following properties.

Through the status field in the sample you can determine when the sample has been fully processed and ready to be used. Thus when retrieving a sample, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

A sample might be composed of thousands or even millions of rows. Thus when retrieving a sample, it's possible to specify that only a subset of rows be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored).

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BigML will never return more than 1000 rows in the same response. However, you can send additional request to get different random samples. Filtering Rows from a Sample Parameters Parameter TypeDescription.

As with inclusion, it's possible to include or exclude the boundaries of the specified interval using square or round brackets Example: ". One of the limits can be omitted. This can be useful, for instance, when you're performing various GET requests and want to compute the union of the returned regions. You'll want this only when unique is set to true, otherwise all those extra values will be equal to 1. When index is also set to true (see above), the multiplicity column is added after the row index.

Useful when paginating over the sample in linear mode. Once you delete a sample, it is permanently deleted. If you try to delete a sample a second time, or a sample that does not exist, you will receive a "404 not found" response.

However, if you try to delete a sample that is being used at the moment, then BigML. To list all the samples, you can use the sample base URL. By default, only the 20 most recent samples will be returned. You can get your list of samples directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your samples.

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You can also list all of your correlations. Example: "This is a description of my new correlation" discretization Object Global numeric field transformation parameters.

See the discretization table below. None of the fields in the dataset is excluded. Specifies the fields that won't be included in the correlation.Consult the Things to Do webpage. Check the Seattle campus calendar. Will I sign up for classes at Admitted Student Preview.

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View the spring 2017 edition of What's On, which contains information about upcoming exhibitions, events for Members and Patrons, and public programs. MetPublications presents The Met's comprehensive publishing program from the last five decades, including books, Bulletins, Journals, and online publications. Members Count Help us bring life to art, and art to lives. What's On: Members and Patrons View the spring 2017 edition of What's On, which contains information about upcoming exhibitions, events for Members and Patrons, and public programs.

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